diff --git a/offers/telecom-grounded-regression-suite-20260223_064504/telecom-grounded-qa-regression-suite-pt-br-es-85001-20260223064446_enriched.csv b/offers/telecom-grounded-regression-suite-20260223_064504/telecom-grounded-qa-regression-suite-pt-br-es-85001-20260223064446_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..88f4a83035005552bd63b44030c5341ec8f24267
--- /dev/null
+++ b/offers/telecom-grounded-regression-suite-20260223_064504/telecom-grounded-qa-regression-suite-pt-br-es-85001-20260223064446_enriched.csv
@@ -0,0 +1,10001 @@
+id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
+1,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1-576754.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2-239127.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3-379847.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4-279676.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5-939126.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6-943914.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7-497786.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8-505986.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9-517555.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+10,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 10-460474.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+11,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 11-502611.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+12,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 12-491779.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+13,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 13-505322.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+14,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 14-881792.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+15,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 15-998803.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+16,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 16-873654.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+17,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 17-342243.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+18,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 18-726667.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+19,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 19-895534.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+20,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 20-997106.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+21,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 21-633390.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+22,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 22-432418.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+23,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 23-916082.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+24,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 24-241728.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+25,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 25-764416.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+26,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 26-858578.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+27,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 27-119262.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+28,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 28-924523.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+29,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 29-257099.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+30,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 30-395887.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+31,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 31-472683.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+32,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 32-147541.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+33,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 33-588113.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+34,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 34-749293.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+35,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 35-739068.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+36,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 36-915531.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+37,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 37-367360.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+38,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 38-796440.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+39,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 39-196283.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+40,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 40-300458.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+41,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 41-194275.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+42,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 42-212190.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+43,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 43-255119.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+44,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 44-876462.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+45,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 45-294292.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+46,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 46-519407.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+47,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 47-295874.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+48,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 48-539421.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+49,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 49-362932.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+50,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 50-871101.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+51,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 51-310921.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+52,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 52-423776.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+53,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 53-414019.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+54,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 54-938127.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+55,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 55-199309.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+56,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 56-941472.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+57,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 57-202339.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+58,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 58-936476.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+59,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 59-445083.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+60,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 60-437212.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+61,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 61-291563.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+62,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 62-387654.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+63,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 63-172342.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+64,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 64-402656.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+65,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 65-708544.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+66,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 66-917715.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+67,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 67-946723.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+68,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 68-111846.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+69,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 69-563005.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+70,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 70-636535.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+71,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 71-142090.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+72,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 72-997241.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+73,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 73-478012.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+74,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 74-201569.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+75,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 75-163477.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+76,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 76-864977.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+77,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 77-310409.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+78,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 78-857415.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+79,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 79-923148.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+80,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 80-640833.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+81,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 81-510912.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+82,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 82-168218.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+83,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 83-941614.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+84,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 84-847819.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+85,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 85-539193.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+86,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 86-604967.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+87,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 87-288142.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+88,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 88-916798.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+89,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 89-974075.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+90,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 90-413087.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+91,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 91-717576.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+92,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 92-388548.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+93,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 93-244120.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+94,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 94-780668.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+95,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 95-835614.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+96,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 96-939411.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+97,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 97-364374.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+98,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 98-705475.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+99,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 99-681614.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 100-578897.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 101-731328.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 102-832631.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 103-143102.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 104-346157.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 105-365345.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 106-763744.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 107-680052.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 108-791932.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 109-281370.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 110-943844.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 111-446201.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 112-175066.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 113-866406.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 114-714052.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 115-512222.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 116-716377.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 117-169337.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 118-985893.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 119-375273.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 120-433133.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 121-342219.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 122-510803.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 123-414722.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 124-442234.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 125-187978.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 126-534406.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 127-296652.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 128-115559.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 129-255843.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 130-188496.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 131-624186.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 132-931404.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 133-425473.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 134-221023.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 135-823618.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 136-774167.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 137-231105.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 138-437315.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 139-583668.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 140-662717.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 141-556171.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 142-869772.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 143-274673.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 144-658799.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 145-389823.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 146-398254.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 147-386375.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 148-229288.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 149-313329.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 150-305266.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 151-461626.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 152-281490.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 153-316400.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 154-567261.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 155-498605.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 156-856242.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 157-706526.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 158-112954.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 159-639443.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 160-232881.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 161-865571.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 162-878442.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 163-722102.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 164-849451.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 165-858871.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 166-800910.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 167-760925.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 168-577828.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 169-168754.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 170-216498.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 171-931717.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 172-541626.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 173-234976.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 174-194280.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 175-400261.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 176-823185.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 177-477115.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 178-885200.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 179-100425.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 180-718515.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 181-385922.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 182-238427.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 183-309320.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 184-121354.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 185-204511.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 186-784486.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 187-850072.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 188-869723.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 189-630990.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 190-448798.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 191-386940.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 192-405280.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 193-420832.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 194-674997.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 195-256061.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 196-118896.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 197-490913.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 198-644654.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 199-211128.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 200-449778.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 201-813729.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 202-344794.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 203-580234.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 204-609701.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 205-941441.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 206-584781.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 207-919664.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 208-545947.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 209-114439.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 210-926441.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 211-336476.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 212-589336.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 213-345407.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 214-486426.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 215-475149.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 216-252136.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 217-623321.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 218-781596.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 219-448172.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 220-199708.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 221-324462.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 222-869154.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 223-521655.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 224-358377.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 225-928175.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 226-831317.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 227-555486.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 228-785822.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 229-530829.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 230-929788.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 231-926784.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 232-601894.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 233-271236.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 234-388680.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 235-478847.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 236-315873.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 237-166655.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 238-433792.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 239-135113.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 240-662949.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 241-418531.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 242-906806.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 243-536962.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 244-992531.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 245-410440.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 246-233307.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 247-479987.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 248-592235.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 249-649486.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 250-738858.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 251-635473.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 252-275172.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 253-568780.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 254-360767.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 255-727759.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 256-466287.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 257-680073.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 258-880250.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 259-776887.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 260-140103.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 261-559472.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 262-145251.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 263-105869.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 264-372517.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 265-356616.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 266-132613.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 267-428381.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 268-429015.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 269-650140.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 270-292208.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 271-595018.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 272-207929.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 273-367061.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 274-968531.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 275-282967.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 276-232853.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 277-346938.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 278-655807.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 279-913717.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 280-389795.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 281-514313.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 282-596901.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 283-808865.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 284-497720.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 285-733214.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 286-624210.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 287-193503.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 288-194826.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 289-644268.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 290-279240.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 291-252679.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 292-952761.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 293-884780.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 294-289527.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 295-599741.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 296-283869.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 297-636735.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 298-127071.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 299-952775.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 300-957887.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 301-385495.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 302-658243.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 303-536970.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 304-662398.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 305-364159.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 306-109353.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 307-517426.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 308-340356.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 309-126777.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 310-877352.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 311-308331.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 312-928301.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 313-883769.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 314-433196.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 315-155011.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 316-731562.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 317-335059.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 318-973911.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 319-492930.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 320-382926.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 321-655191.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 322-163737.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 323-741139.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 324-287369.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 325-901382.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 326-155085.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 327-348528.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 328-671868.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 329-713708.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 330-171095.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 331-909349.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 332-993394.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 333-218421.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 334-695817.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 335-713570.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 336-880129.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 337-428260.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 338-887920.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 339-976833.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 340-317434.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 341-728419.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 342-245406.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 343-209799.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 344-592086.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 345-659770.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 346-761677.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 347-967514.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 348-376495.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 349-659330.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 350-591925.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 351-675796.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 352-141941.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 353-160300.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 354-499048.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 355-732122.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 356-440240.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 357-782224.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 358-732275.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 359-828180.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 360-594320.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 361-905208.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 362-405586.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 363-312258.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 364-757381.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 365-371087.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 366-145859.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 367-108937.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 368-793909.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 369-130327.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 370-247184.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 371-765500.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 372-689683.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 373-983345.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 374-896013.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 375-584484.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 376-669722.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 377-775175.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 378-729105.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 379-732880.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 380-755855.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 381-110187.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 382-567115.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 383-127726.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 384-722949.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 385-988873.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 386-824191.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 387-708846.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 388-974700.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 389-772971.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 390-245017.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 391-967309.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 392-641986.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 393-471676.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 394-222657.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 395-107861.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 396-241812.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 397-951051.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 398-711206.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 399-117548.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 400-483032.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 401-916312.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 402-420583.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 403-600611.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 404-606625.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 405-949161.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 406-117485.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 407-902678.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 408-693200.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 409-145430.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 410-585532.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 411-966009.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 412-926080.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 413-676848.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 414-827100.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 415-196788.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 416-849400.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 417-817775.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 418-566581.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 419-202981.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 420-428150.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 421-439133.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 422-538979.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 423-328187.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 424-470552.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 425-399010.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 426-877344.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 427-377785.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 428-532373.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 429-325505.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 430-216961.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 431-861714.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 432-341059.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 433-385014.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 434-999414.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 435-724191.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 436-167989.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 437-306759.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 438-318974.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 439-450308.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 440-356120.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 441-405330.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 442-551006.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 443-244728.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 444-147226.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 445-123531.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 446-166528.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 447-920264.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 448-326358.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 449-941951.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 450-314516.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 451-744260.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 452-490060.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 453-858186.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 454-364865.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 455-311552.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 456-719714.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 457-617724.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 458-536914.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 459-185570.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 460-608718.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 461-448667.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 462-161078.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 463-969176.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 464-509609.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 465-689055.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 466-110536.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 467-801352.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 468-938948.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 469-466354.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 470-177980.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 471-894009.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 472-329174.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 473-888926.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 474-106318.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 475-549750.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 476-172685.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 477-749160.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 478-619280.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 479-899080.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 480-551127.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 481-853010.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 482-982765.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 483-596521.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 484-844989.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 485-352429.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 486-222076.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 487-741179.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 488-860241.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 489-682198.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 490-971672.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 491-387407.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 492-740324.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 493-434315.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 494-921856.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 495-100433.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 496-539608.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 497-526046.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 498-786950.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 499-200475.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 500-990284.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 501-125028.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 502-817461.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 503-380538.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 504-830585.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 505-985448.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 506-231763.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 507-731787.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 508-441261.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 509-809812.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 510-136966.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 511-183998.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 512-121206.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 513-849321.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 514-306238.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 515-125380.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 516-484775.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 517-934889.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 518-965278.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 519-272113.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 520-818806.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 521-340321.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 522-492673.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 523-238249.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 524-527821.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 525-905977.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 526-391000.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 527-616683.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 528-291737.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 529-330503.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 530-694630.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 531-764896.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 532-793877.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 533-582355.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 534-929108.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 535-234775.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 536-579307.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 537-983514.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 538-237581.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 539-467147.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 540-932608.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 541-640477.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 542-427389.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 543-108530.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 544-186674.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 545-900284.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 546-546823.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 547-736043.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 548-941214.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 549-633184.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 550-772169.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 551-131910.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 552-544184.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 553-483620.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 554-143263.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 555-328429.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 556-390438.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 557-992250.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 558-223605.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 559-426057.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 560-223146.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 561-838319.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 562-185468.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 563-818849.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 564-292744.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 565-705144.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 566-232599.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 567-959861.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 568-304738.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 569-420373.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 570-937597.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 571-446152.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 572-781660.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 573-113488.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 574-969632.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 575-274370.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 576-733899.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 577-748667.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 578-470752.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 579-546646.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 580-914742.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 581-126456.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 582-977991.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 583-509470.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 584-422213.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 585-206707.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 586-863398.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 587-834412.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 588-803069.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 589-501400.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 590-476616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 591-388848.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 592-680314.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 593-306189.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 594-357257.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 595-235547.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 596-562762.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 597-529738.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 598-817260.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 599-402902.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 600-317222.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 601-788956.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 602-191257.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 603-269542.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 604-548637.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 605-982760.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 606-733835.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 607-160687.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 608-112343.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 609-747691.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 610-164225.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 611-152473.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 612-384184.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 613-861855.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 614-489579.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 615-329530.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 616-221510.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 617-998987.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 618-610266.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 619-321801.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 620-585607.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 621-498079.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 622-321228.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 623-577678.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 624-133582.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 625-713291.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 626-656320.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 627-131515.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 628-128257.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 629-162966.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 630-508920.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 631-515718.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 632-949889.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 633-929039.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 634-896571.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 635-901337.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 636-372954.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 637-203838.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 638-165639.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 639-379725.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 640-742994.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 641-745452.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 642-381893.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 643-214992.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 644-674796.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 645-376869.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 646-344062.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 647-631817.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 648-574148.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 649-503074.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 650-910028.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 651-389472.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 652-725659.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 653-622150.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 654-139218.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 655-759912.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 656-112995.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 657-265233.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 658-355261.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 659-964955.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 660-296499.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 661-403968.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 662-270649.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 663-511017.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 664-522126.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 665-446220.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 666-369102.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 667-314668.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 668-495707.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 669-962444.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 670-937020.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 671-727566.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 672-985702.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 673-933400.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 674-860460.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 675-776435.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 676-566375.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 677-280237.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 678-766812.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 679-704642.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 680-163823.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 681-559917.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 682-552992.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 683-779095.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 684-197648.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 685-464504.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 686-243670.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 687-287221.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 688-124112.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 689-512066.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 690-401947.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 691-668949.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 692-808251.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 693-787636.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 694-511602.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 695-315720.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 696-408261.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 697-597694.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 698-857394.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 699-613857.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 700-258924.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 701-186402.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 702-893291.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 703-602720.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 704-262196.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 705-332509.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 706-665773.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 707-874912.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 708-123965.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 709-679523.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 710-533860.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 711-314853.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 712-563566.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 713-152444.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 714-570826.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 715-408616.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 716-649007.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 717-272743.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 718-509855.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 719-974670.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 720-147620.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 721-378076.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 722-115483.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 723-727616.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 724-424407.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 725-944717.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 726-603876.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 727-432427.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 728-737897.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 729-796770.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 730-548298.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 731-473320.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 732-275625.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 733-271421.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 734-313193.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 735-599894.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 736-152448.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 737-942445.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 738-127941.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 739-909342.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 740-211125.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 741-617192.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 742-216969.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 743-896413.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 744-737106.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 745-843366.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 746-199543.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 747-451519.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 748-915016.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 749-841107.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 750-551423.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 751-267883.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 752-333176.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 753-313330.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 754-131063.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 755-120778.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 756-358295.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 757-203419.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 758-811139.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 759-324339.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 760-576911.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 761-871490.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 762-492697.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 763-263700.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 764-229735.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 765-341645.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 766-394700.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 767-685402.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 768-217344.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 769-958215.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 770-613112.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 771-269894.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 772-844680.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 773-113827.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 774-684263.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 775-225440.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 776-558845.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 777-584819.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 778-225425.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 779-117244.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 780-495652.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 781-724893.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 782-263246.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 783-242977.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 784-340966.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 785-568801.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 786-928583.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 787-531599.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 788-899055.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 789-945068.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 790-108705.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 791-361097.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 792-481972.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 793-622111.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 794-820764.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 795-423822.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 796-769035.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 797-837754.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 798-765662.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 799-658947.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 800-702824.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 801-668401.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 802-909752.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 803-539350.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 804-253175.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 805-350154.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 806-464557.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 807-984556.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 808-864573.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 809-129016.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 810-170225.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 811-373830.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 812-874151.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 813-285674.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 814-889320.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 815-219430.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 816-502795.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 817-291958.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 818-913695.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 819-387112.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 820-471287.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 821-244475.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 822-937489.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 823-489683.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 824-816418.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 825-437138.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 826-793438.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 827-175210.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 828-715728.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 829-243052.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 830-416157.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 831-982621.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 832-279278.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 833-514735.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 834-377254.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 835-639362.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 836-132061.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 837-796793.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 838-680212.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 839-315303.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 840-251752.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 841-345355.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 842-286333.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 843-182109.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 844-988750.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 845-916601.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 846-546497.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 847-174140.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 848-908365.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 849-504263.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 850-878371.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 851-222539.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 852-276644.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 853-677885.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 854-969122.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 855-527124.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 856-759586.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 857-485898.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 858-662190.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 859-536447.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 860-650178.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 861-249832.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 862-712932.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 863-717902.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 864-108416.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 865-659782.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 866-212975.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 867-489006.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 868-363455.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 869-337304.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 870-841522.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 871-194241.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 872-878952.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 873-678578.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 874-309394.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 875-369248.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 876-638151.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 877-699806.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 878-794704.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 879-159500.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 880-774893.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 881-750872.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 882-916867.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 883-737313.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 884-479286.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 885-607619.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 886-939889.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 887-333562.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 888-659630.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 889-753819.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 890-734356.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 891-598269.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 892-742393.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 893-147270.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 894-914361.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 895-802900.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 896-700350.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 897-414977.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 898-203958.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 899-950376.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 900-793296.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 901-463933.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 902-889390.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 903-847390.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 904-193570.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 905-898707.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 906-152436.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 907-716241.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 908-300197.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 909-747892.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 910-604395.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 911-758511.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 912-582292.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 913-789794.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 914-120483.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 915-300071.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 916-767494.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 917-297268.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 918-657757.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 919-149191.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 920-126876.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 921-844421.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 922-846757.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 923-266661.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 924-773895.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 925-321435.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 926-830359.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 927-587464.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 928-195861.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 929-631337.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 930-411285.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 931-218940.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 932-758600.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 933-655884.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 934-464896.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 935-799272.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 936-755591.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 937-881099.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 938-799780.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 939-986177.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 940-796880.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 941-272317.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 942-575480.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 943-897924.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 944-984204.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 945-160599.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 946-669624.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 947-251278.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 948-438925.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 949-208775.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 950-966866.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 951-703425.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 952-397064.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 953-345038.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 954-306311.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 955-589078.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 956-962906.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 957-210589.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 958-916336.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 959-975904.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 960-961885.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 961-713634.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 962-489368.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 963-752475.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 964-675588.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 965-581357.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 966-528204.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 967-833360.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 968-877767.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 969-705904.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 970-714695.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 971-714617.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 972-433759.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 973-604789.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 974-632397.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 975-782872.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 976-103204.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 977-686936.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 978-676561.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 979-993321.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 980-838043.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 981-555252.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 982-865325.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 983-427014.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 984-606522.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 985-291228.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 986-452511.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 987-349773.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 988-753757.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 989-890601.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 990-678427.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 991-970562.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 992-522820.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 993-747435.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 994-876181.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 995-932804.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 996-471260.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 997-948543.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 998-870665.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 999-608838.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 1000-507644.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1001-866972.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1002-988365.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-773313.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1004-870771.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-231054.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-806488.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-365578.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-210120.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1009-970402.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-939983.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1011-471558.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1012-667828.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1013-491508.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1014-276481.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1015-197127.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-198437.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1017-555515.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1018-825706.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1019-878153.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1020-638887.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-856257.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1022-999793.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-568024.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-534691.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1025-319419.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-632802.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-459175.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-672543.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1029-291734.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1030-440831.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1031-376991.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1032-189219.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1033-986293.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1034-893589.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1035-763256.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1036-611505.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1037-641634.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1038-839846.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1039-975821.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1040-401911.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-940805.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-221421.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1043-402442.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-287955.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-109855.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1046-930635.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1047-349073.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-760430.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 1049-526353.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1050-140246.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-376488.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1052-183797.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1053-336562.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1054-227969.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1055-256147.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1056-142876.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1057-889599.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1058-553537.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1059-979094.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1060-155653.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1061-431281.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1062-209432.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1063-535793.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1064-596476.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1065-978673.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-887912.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1067-265224.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1068-164708.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1069-743495.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1070-560687.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1071-849658.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-880170.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-514812.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-965915.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-780083.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-378175.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1077-255824.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1078-911704.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1079-603617.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1080-446874.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1081-655553.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1082-304084.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1083-212807.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1084-317739.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1085-646504.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1086-843350.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1087-540331.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-197778.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1089-257129.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-814979.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1091-659448.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1092-755501.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1093-205199.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1094-563270.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1095-456954.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1096-834920.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1097-836301.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1098-602966.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-674066.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1100-119646.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1101-942306.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1102-654120.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1103-688068.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-160944.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-537332.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1106-366660.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1107-177423.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1108-124958.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1109-275586.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1110-692919.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-701966.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1112-971704.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-617122.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1114-104619.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1115-427285.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1116-398798.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1117-926878.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-731941.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1119-658803.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1120-288393.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1121-670722.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1122-477440.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1123-279767.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-829345.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1125-427884.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1126-420485.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1127-675104.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-694096.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-803562.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1130-661988.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1131-762845.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-772650.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1133-533923.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1134-866583.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-910880.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1136-302614.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1137-667075.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1138-125954.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-351994.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-733605.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-423860.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1142-513688.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-971616.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-424273.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-823656.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-709084.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-497839.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1148-646840.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1149-202518.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1150-569955.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1151-983693.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-630049.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1153-566163.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-451859.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1155-517555.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1156-791207.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1157-451691.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1158-111290.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1159-774845.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-285867.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1161-143874.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-860757.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-804655.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1164-857016.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-867895.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1166-367544.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-197498.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-419477.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-466340.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1170-346470.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-583361.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1172-506493.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1173-852016.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1174-309379.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1175-368725.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1176-418505.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1177-768373.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-603927.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1179-889412.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1180-320933.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1181-554296.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1182-601647.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1183-482604.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1184-392454.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1185-629439.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1186-259107.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1187-231444.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-367759.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-919142.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-551068.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1191-564632.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-784719.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-475145.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1194-116297.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1195-809920.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-128455.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-399622.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-425713.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-943296.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1200-955982.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1201-491350.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1202-258987.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1203-545655.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1204-330470.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1205-283842.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1206-935776.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1207-538414.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1208-644904.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-387907.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-771363.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-850434.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1212-722396.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1213-853516.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-780390.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1215-328447.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1216-159986.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1217-234509.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-995013.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1219-612769.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1220-898822.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-682523.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1222-605834.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1223-311163.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1224-323345.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1225-643973.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1226-442981.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1227-762990.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-904785.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1229-798945.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1230-974424.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1231-586866.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1232-265608.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-890988.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1234-272810.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1235-525595.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-904437.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1237-139197.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-305815.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-784029.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1240-910846.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-213092.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-989469.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1243-807703.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1244-537949.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1245-712073.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-869185.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1247-823883.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-864040.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1249-837539.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1250-795007.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1251-587731.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1252-904299.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-858841.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-953470.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1255-714312.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-378346.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1257-617749.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1258-346763.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1259-991320.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-727744.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1261-403067.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1262-764990.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1263-335808.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1264-386181.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1265-996555.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-144368.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1267-709862.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-613512.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-786365.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1270-874014.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-984401.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1272-616841.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1273-469098.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1274-578583.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1275-400304.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-934725.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-857886.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1278-136791.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-378630.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-684512.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1281-169399.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1282-979895.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1283-745711.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1284-740728.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1285-495371.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-914445.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1287-504541.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1288-117103.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1289-145448.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1290-155750.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-196863.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 1292-442774.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-390724.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1294-193867.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1295-402266.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1296-616772.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1297-831181.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1298-112033.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-748229.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1300-872901.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1301-125090.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1302-865182.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1303-984133.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1304-836560.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1305-706133.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1306-851584.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1307-218170.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1308-894782.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-192678.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-999025.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1311-839557.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-740336.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1313-445160.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1314-372098.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-737794.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1316-934929.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1317-411713.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-151070.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-586023.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1320-133042.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1321-417046.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1322-583882.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-317319.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1324-393269.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-517827.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-343367.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-709161.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-153571.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-430592.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1330-137259.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1331-725564.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-948081.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-581465.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1334-822892.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1335-451173.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-629744.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-491733.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1338-479537.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1339-827610.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1340-941635.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1341-963526.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-507906.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1343-260789.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1344-527314.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1345-671433.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1346-680360.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-502784.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1348-954841.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1349-310470.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-921099.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-940169.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1352-395289.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1353-222933.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1354-947372.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1355-255792.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1356-349607.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1357-684343.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1358-443456.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-921585.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1360-573255.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1361-229379.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-870970.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1363-312582.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-771316.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1365-942090.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1366-530780.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1367-999366.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-551687.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-761347.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1370-947290.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1371-445830.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1372-926040.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-929362.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-570412.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-143371.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-134199.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1377-195162.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-211010.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-786838.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-390180.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1381-756399.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1382-515492.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1383-870587.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1384-150259.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-903357.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1386-329989.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1387-175262.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1388-773441.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1389-282128.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1390-917419.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1391-964817.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-532922.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1393-174464.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1394-229421.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1395-954751.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1396-420863.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1397-970515.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1398-406691.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1399-285531.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1400-207715.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-371952.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-564365.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-890381.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-934756.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1405-790489.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-948919.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-189332.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-599176.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1409-660571.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1410-578839.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1411-249031.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-615327.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1413-184942.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1414-485892.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-236772.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1416-851609.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1417-905984.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-476844.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1419-727082.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1420-525901.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1421-662992.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1422-244519.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1423-290985.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1424-720308.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-352270.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-145152.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-287001.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1428-705428.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-672833.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-348650.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-633045.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-450938.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-436845.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-197505.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1435-466014.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1436-481727.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-438778.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-568564.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-992053.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-897161.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-573327.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-806370.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1443-432297.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1444-662822.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1445-592250.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-319694.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-657523.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-235146.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-606028.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-134500.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1451-567333.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-133528.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-382858.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1454-624744.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1455-921445.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-407503.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1457-271023.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-819258.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1459-686123.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1460-310924.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1461-284276.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1462-324596.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1463-176587.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1464-251625.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1465-907629.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1466-159588.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1467-597952.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1468-112717.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1469-968050.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1470-962473.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-130129.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-607425.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1473-650992.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-495905.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1475-660471.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1476-362040.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-186868.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-320915.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-773790.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1480-416204.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-530957.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-755771.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1483-325664.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1484-236971.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-611093.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-650005.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1487-707686.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1488-908923.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1489-651643.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1490-480544.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1491-914154.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-417720.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1493-492780.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1494-904349.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1495-848619.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-921692.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-255819.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1498-897930.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1499-861973.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-181368.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-769461.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1502-359414.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1503-963556.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1504-852912.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1505-228050.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1506-754337.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1507-364682.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1508-217543.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-937486.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1510-284512.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1511-978446.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1512-331805.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1513-528861.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1514-549161.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1515-531926.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1516-252417.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-435999.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1518-649266.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1519-891973.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1520-874314.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1521-708686.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1522-989156.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-230320.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1524-706744.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-864969.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-633428.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-154654.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-323288.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1529-675143.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-742559.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-763154.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1532-152875.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-711600.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1534-191577.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1535-225955.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-280387.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1537-889430.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1538-910433.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-578726.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1540-890164.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-735509.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1542-911297.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1543-379043.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1544-701254.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1545-137288.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1546-449640.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1547-496680.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-387421.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-951936.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1550-243852.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-559158.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1552-381702.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1553-424367.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-738633.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-895160.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1556-984460.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1557-401317.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1558-350358.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1559-497907.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-398811.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-964087.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-179175.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 1563-909356.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1564-727695.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-594847.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1566-153962.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1567-479265.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-941987.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-994888.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1570-512165.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-752983.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1572-376654.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1573-968572.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1574-994811.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1575-583321.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-598717.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1577-787295.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1578-962506.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-545179.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-264402.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-748794.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1582-508788.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1583-803938.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-441311.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-645571.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1586-503566.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1587-737843.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1588-398760.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1589-673609.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1590-835702.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-924680.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1592-824520.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1593-226401.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1594-936649.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1595-877009.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1596-668198.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-413591.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1598-553435.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1599-344949.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-759074.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-408980.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1602-879734.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-996074.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-907661.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-600779.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1606-458076.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-173542.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-919853.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-648211.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1610-455775.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1611-995392.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-763730.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-180462.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1614-936419.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-294637.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1616-442969.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1617-579072.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-350571.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1619-625396.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1620-734019.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1621-228364.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1622-511770.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1623-459668.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1624-386526.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1625-396007.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1626-200786.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1627-990297.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1628-741366.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-385176.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-550668.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1631-422780.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-488436.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-741550.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1634-777095.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1635-262547.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1636-208825.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-953918.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1638-242186.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1639-126012.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-848440.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1641-333756.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1642-509268.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1643-936746.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-775090.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1645-115571.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-821475.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1647-902908.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1648-124369.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1649-685680.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1650-112467.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1651-243476.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1652-964999.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1653-761596.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-360869.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-764750.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1656-862831.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1657-573577.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1658-341761.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1659-966006.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1660-715059.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1661-684038.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1662-956712.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-176884.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-538564.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1665-746492.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-498638.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1667-129657.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-707112.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1669-421375.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1670-183683.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1671-558623.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1672-587071.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1673-744037.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1674-213354.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1675-109036.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1676-975660.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1677-504079.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1678-947121.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-793252.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-661410.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-499374.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1682-582345.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1683-307586.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1684-826084.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1685-409208.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-994809.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1687-632882.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-396834.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1689-668851.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1690-682908.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1691-753389.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1692-664830.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1693-695650.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1694-703953.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1695-342025.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1696-524155.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1697-238277.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1698-456540.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1699-337380.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-423288.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1701-682439.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-314931.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-227610.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1704-191721.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1705-731865.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-208572.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1707-193257.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-948938.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1709-221617.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-112804.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1711-887927.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1712-547998.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1713-800333.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1714-746923.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1715-291923.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-541395.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1717-407129.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1718-297134.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1719-322882.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1720-459336.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-609960.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1722-524453.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1723-968650.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-949036.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-399864.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1726-829946.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-169501.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1728-575213.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1729-268286.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1730-592348.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1731-840610.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1732-363341.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1733-734719.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-176678.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-112097.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1736-728363.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1737-422863.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1738-271147.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-625454.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-547365.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-340353.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1742-331981.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1743-362923.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1744-216126.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-910501.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1746-878452.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1747-937111.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-763064.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-476951.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-285553.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-987899.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1752-993065.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1753-300591.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1754-580433.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-833987.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-128228.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-611793.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1758-267770.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1759-626733.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1760-236076.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-734913.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1762-990342.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1763-585253.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1764-722357.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1765-178929.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-304935.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1767-127337.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1768-716054.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-240671.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-628599.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1771-137235.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1772-209817.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-913342.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1774-168191.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1775-485895.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1776-229481.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1777-242766.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1778-617501.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-352631.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-474746.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-805955.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1782-366000.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1783-412860.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1784-232481.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-940000.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-278258.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1787-193364.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-118002.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1789-837420.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-928256.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1791-732733.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1792-997070.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1793-472055.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1794-790531.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1795-425575.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-169742.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1797-145939.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1798-457668.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1799-479564.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1800-679907.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-840347.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1802-895277.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-797672.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1804-676417.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1805-921542.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1806-784294.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1807-127128.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1808-898590.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1809-299869.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1810-719281.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1811-354457.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-790791.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-943233.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1814-284514.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1815-163039.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1816-855773.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-132341.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1818-144735.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1819-774550.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1820-894305.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1821-931254.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1822-527758.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1823-627693.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1824-801224.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1825-399127.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-425071.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1827-152921.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1828-417862.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-192986.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-584788.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1831-317015.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1832-963955.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1833-519740.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-554598.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 1835-255674.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1836-657959.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1837-769282.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-649986.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-301229.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-581029.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-395740.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1842-638999.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-302011.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1844-234001.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1845-724611.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1846-192220.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1847-999103.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-950751.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1849-985909.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1850-269176.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1851-742808.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-126701.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-620937.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1854-923251.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-856978.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-156333.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1857-729005.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 1858-572481.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1859-788184.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-697970.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1861-196068.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-436984.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-330861.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1864-167667.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-928021.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-315995.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1867-735686.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-379114.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1869-577425.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1870-275939.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1871-907979.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1872-695658.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1873-914398.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-831845.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-637548.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-130749.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 1877-351370.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1878-267694.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1879-427088.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1880-277023.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1881-792616.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1882-527805.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1883-583003.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-236191.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-648655.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1886-370464.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-859534.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-176388.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-547945.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-263834.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-855386.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-912815.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-862394.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1894-932114.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1895-522633.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1896-635277.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-229743.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-936631.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1899-716172.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-409527.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-296669.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1902-526527.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-571871.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1904-815938.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-630231.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-275354.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-884646.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-878293.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1909-501248.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-700751.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1911-123965.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-538567.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1913-646579.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1914-654361.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1915-711944.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-541597.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-638947.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 1918-362918.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-932320.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1920-420940.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1921-960945.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1922-561143.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1923-211969.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1924-125210.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-605483.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-735419.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-313561.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1928-487756.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-742624.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1930-745064.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1931-134596.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1932-741842.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1933-433581.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-753787.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-231055.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-326581.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-892644.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1938-167792.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-880194.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1940-374453.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-525893.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 1942-228484.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-361959.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-329813.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-483291.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-208611.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1947-874658.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-611236.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1949-578295.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-852042.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-886056.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-827002.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-707215.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1954-396990.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-924135.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-790367.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-922742.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-174809.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-376823.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-713577.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-292547.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-301269.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-843208.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-215107.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-178547.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-917429.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-379029.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-645190.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-752140.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-378339.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-284549.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-189313.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-995227.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-714740.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-220329.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-110407.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1977-333125.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-184445.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-618693.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-273548.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1981-733728.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1982-446871.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-453252.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-332090.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+1985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-300581.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-280002.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-249429.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1988-514744.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+1989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-290461.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-199449.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-563961.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1992-566984.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-449363.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-327655.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+1995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-552491.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-935606.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+1997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-552239.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-171752.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+1999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1999-777198.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-825351.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-412659.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-306310.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-309542.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-571317.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-759873.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-673114.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-501993.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-105932.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-120916.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-803688.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-120856.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2012-635145.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2013-272308.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-242154.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-390218.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-852623.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-308221.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2018-445504.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-430621.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-746965.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-284956.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-920829.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-619175.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-521767.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-613774.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-105725.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2027-514742.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-847494.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2029-961508.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-620402.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2031-158766.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2032-151029.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2033-523630.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2034-479874.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2035-423667.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-683828.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-360851.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-338826.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2039-594196.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2040-766044.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2041-710171.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2042-430208.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2043-177380.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2044-688554.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-173520.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-304726.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2047-560969.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2048-440065.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-180109.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-939623.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2051-964916.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2052-862070.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2053-509955.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2054-475238.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2055-185080.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2056-529233.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2057-419191.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2058-642996.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2059-918740.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2060-275774.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-218613.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2062-339935.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2063-378507.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2064-554789.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2065-120709.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2066-198100.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2067-161220.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2068-409493.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2069-808038.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2070-842571.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2071-768582.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-461896.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2073-268237.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2074-193881.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-105083.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-920513.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2077-950084.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2078-258801.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2079-181305.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-639100.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-731470.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-199869.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-992854.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2084-916497.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2085-629744.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2086-884236.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2087-661580.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2088-928153.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2089-370228.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2090-497512.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2091-887260.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2092-110508.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2093-920671.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2094-785006.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2095-339966.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2096-119959.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2097-357882.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2098-937169.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2099-793827.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2100-682573.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2101-906598.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2102-574903.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-988372.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2104-751386.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2105-700315.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2106-105925.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 2107-780608.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-635881.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2109-303363.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2110-830529.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2111-473323.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2112-222108.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2113-177375.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-840659.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2115-115170.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2116-663130.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-147009.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-447592.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2119-544259.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-550261.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2121-165099.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2122-898271.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2123-509437.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2124-269651.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2125-258788.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-257902.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2127-908431.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-919386.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2129-163014.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-222829.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-207587.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2132-404161.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2133-882693.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-705027.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2135-201105.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-263272.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2137-947739.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2138-791720.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-295017.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-781397.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2141-579292.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-370900.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-119750.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2144-696337.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2145-709527.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-293911.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2147-625115.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2148-447284.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2149-676872.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2150-538104.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2151-882913.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-917180.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-203976.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2154-666014.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2155-100396.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2156-625356.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-258464.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2158-396053.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2159-913815.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2160-682750.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-618747.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-233982.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2163-784452.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2164-214330.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2165-596378.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2166-585876.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-348839.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2168-185634.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-700981.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2170-323882.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2171-489184.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-357477.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-771010.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-188138.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-614871.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-273733.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2177-434094.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2178-123154.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2179-834696.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2180-281239.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2181-519964.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-387927.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2183-307956.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2184-134463.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-145895.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-114764.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2187-884005.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2188-642462.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2189-148179.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2190-713201.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-697380.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-117761.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-899404.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2194-698508.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2195-676847.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-520778.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2197-203631.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2198-505246.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-351787.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2200-264672.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-287510.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2202-609275.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2203-982744.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-120080.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2205-264278.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2206-944184.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-986254.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2208-943096.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2209-448649.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2210-163755.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-262289.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2212-316531.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2213-432221.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2214-305374.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2215-485702.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-463207.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2217-271281.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-460579.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2219-819431.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-173744.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2221-131686.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2222-859590.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-578494.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-491345.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2225-786785.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-673072.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-323386.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-686097.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2229-807056.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2230-619018.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2231-954504.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-497610.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2233-411378.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-337819.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2235-452241.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-144513.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-564436.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2238-813971.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2239-840598.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2240-139645.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2241-826772.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2242-882087.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2243-728174.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-860787.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2245-448553.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2246-826207.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-185931.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2248-288026.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2249-367841.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2250-485979.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-926888.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-931505.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2253-952544.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2254-126524.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2255-776915.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2256-931973.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2257-935069.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2258-927453.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-611378.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2260-237473.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2261-917967.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-245941.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-807316.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2264-233902.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2265-265430.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2266-714506.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2267-838703.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2268-481597.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-369065.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-849966.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2271-364123.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-227488.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2273-294714.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2274-148209.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-531100.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-551733.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-535547.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2278-528379.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2279-622171.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2280-830135.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-389159.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2282-395276.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2283-112528.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2284-541326.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2285-197684.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2286-478307.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2287-101479.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2288-389405.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2289-821987.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2290-420353.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2291-211677.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2292-107383.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2293-937416.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2294-157083.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-963212.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2296-337230.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-629254.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2298-659737.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2299-572804.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-201369.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-188181.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-937880.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2303-912414.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2304-457843.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-992058.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2306-488506.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2307-427578.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-304581.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-107601.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2310-148396.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2311-118063.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2312-432460.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-127299.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2314-472474.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-187480.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-545659.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-318207.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2318-806559.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2319-233159.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2320-946133.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-303131.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2322-645376.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-261915.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-334861.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2325-968116.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-773374.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2327-536260.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-108841.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-949165.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2330-983615.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2331-453968.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2332-680484.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2333-100553.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-796430.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-399974.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2336-143090.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 2337-121068.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-916847.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2339-981721.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-877425.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2341-929871.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-804084.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2343-835277.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2344-290874.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2345-161150.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-270143.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-578946.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2348-211220.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2349-717597.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2350-504598.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2351-711724.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2352-710867.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2353-587370.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2354-745504.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-284134.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2356-320363.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2357-654778.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2358-126940.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2359-625734.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2360-482479.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2361-586274.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-760473.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2363-681992.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-253146.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-153159.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2366-756554.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-417358.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-943594.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-684113.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-111380.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2371-986719.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-202848.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2373-601636.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-449536.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2375-656953.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2376-288398.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-794853.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2378-764622.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-486851.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2380-391499.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-687827.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-210175.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2383-570576.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2384-501389.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-658475.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-131081.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-276849.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2388-387367.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2389-550955.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2390-866417.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-188725.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-178545.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2393-805855.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2394-520570.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-773382.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2396-740518.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-277519.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2398-191586.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-716992.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2400-687434.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2401-957920.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-116773.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2403-507625.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-384490.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2405-867253.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2406-385347.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-599139.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2408-962638.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2409-245308.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2410-417789.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-503803.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2412-476937.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-303301.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-937569.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-456517.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-278996.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2417-683952.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2418-811362.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-956783.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2420-522928.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-901837.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2422-133145.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2423-452490.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-313786.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2425-265386.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2426-738805.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-857474.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-933150.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2429-858900.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2430-867651.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-550383.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2432-167282.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2433-374755.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2434-219360.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2435-468719.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2436-581673.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2437-440356.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-815107.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-753144.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-455545.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-301976.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-162814.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2443-107504.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2444-395665.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-496542.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2446-622978.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2447-240600.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-858655.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2449-816805.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-968147.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-765251.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-342389.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-187898.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2454-192051.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2455-257252.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-871139.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-928409.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2458-196871.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2459-766646.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-708331.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-885617.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2462-752730.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2463-834518.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2464-122272.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2465-791789.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2466-601149.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2467-622061.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2468-414020.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2469-190285.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-599994.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2471-891071.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-813762.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-853000.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2474-199987.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-291057.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2476-817353.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2477-121158.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-626933.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-575167.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-159431.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-314681.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-313541.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2483-422575.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-778690.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-841227.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-486413.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2487-431154.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-261740.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2489-131177.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-443826.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-879098.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2492-819262.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-525942.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-932528.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-461854.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2496-497047.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2497-328558.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2498-674050.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-272990.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2500-961559.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2501-436596.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2502-215988.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2503-555658.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2504-709770.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-941837.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2506-749887.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2507-100414.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2508-308479.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2509-680382.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2510-391857.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-690323.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-610224.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-260921.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2514-120275.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-110707.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-999637.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2517-470044.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2518-100022.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2519-666281.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-884945.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-169507.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-486995.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2523-879857.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-755829.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2525-591175.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2526-138294.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2527-160785.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2528-542809.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2529-750830.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2530-364853.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2531-431060.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2532-300931.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2533-227223.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2534-161885.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2535-717402.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2536-408574.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2537-232735.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2538-709423.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-271322.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2540-277878.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-920536.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2542-334382.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-411584.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-370164.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-551384.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2546-532975.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2547-387442.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2548-235284.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2549-426117.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2550-353600.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2551-124635.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-446199.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2553-625259.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2554-415375.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-676381.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2556-416462.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2557-239844.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2558-548370.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-133407.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2560-182054.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2561-654640.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-815100.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2563-463340.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2564-844976.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-590655.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2566-940386.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-394824.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2568-390925.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-244370.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2570-860921.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2571-720650.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2572-926563.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2573-792694.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2574-490537.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-419942.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2576-887173.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2577-340087.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2578-269792.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2579-251260.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2580-407730.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2581-946795.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2582-990469.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-859459.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-435283.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2585-517976.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-818514.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-829222.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2588-398377.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2589-515409.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2590-766870.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2591-960983.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2592-870681.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2593-816809.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2594-984538.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2595-572600.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-816227.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2597-465240.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2598-417934.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2599-850619.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2600-312354.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2601-863333.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2602-225137.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-564195.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2604-127103.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-343333.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-623391.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2607-956612.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2608-299410.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2609-418490.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2610-939141.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2611-376685.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2612-711185.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-898272.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2614-425123.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2615-268913.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2616-581809.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2617-383608.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-367100.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-225407.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2620-764420.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2621-500690.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2622-591298.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2623-567392.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2624-274577.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2625-690171.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-381608.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2627-364210.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2628-201054.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2629-448000.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2630-547689.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2631-397922.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-446268.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2633-159109.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-479801.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2635-166879.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-280903.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2637-688153.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-294548.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2639-341006.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2640-860471.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-166779.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-158230.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-483299.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2644-187045.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2645-228537.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2646-820812.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2647-395250.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2648-196756.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2649-647864.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-180706.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2651-156204.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-635874.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2653-451852.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2654-791652.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2655-597395.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2656-197744.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2657-702640.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-836242.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2659-268373.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2660-510660.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2661-580320.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2662-163777.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-282748.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2664-601830.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2665-757234.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2666-474850.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2667-532368.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2668-439564.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-919535.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2670-416724.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2671-388766.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-185122.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2673-890468.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2674-962000.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2675-154776.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2676-555873.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-386565.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2678-607993.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-737903.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-347110.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-422497.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2682-457021.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2683-598282.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-386721.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2685-677310.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-761671.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-469227.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2688-357196.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2689-491631.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2690-857877.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-387889.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-856383.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-779041.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2694-720288.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-780120.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-288490.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2697-292933.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2698-980754.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-148694.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-218874.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2701-699192.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-575488.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-662381.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2704-636135.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-275419.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-590886.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-956462.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-247057.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-294232.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2710-694158.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2711-481786.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2712-503491.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2713-159870.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-352065.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2715-242688.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-308714.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2717-497375.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-773809.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-878008.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-896797.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2721-414170.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2722-737778.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2723-688812.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2724-643165.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2725-339003.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-626064.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2727-154570.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2728-203976.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-587418.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2730-822484.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2731-908358.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2732-130968.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-184124.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2734-992385.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-548336.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-204927.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-876832.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2738-851953.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-197273.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2740-924779.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2741-761068.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2742-897607.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-122320.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2744-302247.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2745-641900.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-728638.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2747-452755.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2748-269484.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2749-683275.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2750-164934.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2751-460657.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2752-484149.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2753-580537.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-172769.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2755-141963.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-347311.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-249358.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2758-608638.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-174572.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-323863.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-676333.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2762-594233.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-401817.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-149435.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2765-280832.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2766-231533.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2767-947640.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2768-934417.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2769-942765.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2770-314076.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2771-850253.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2772-489281.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-795134.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-192416.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2775-168027.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2776-129357.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-525407.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2778-655142.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2779-424114.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2780-330414.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-312133.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2782-737739.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-947557.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2784-754957.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2785-813557.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2786-888361.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2787-855385.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-181841.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-189359.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2790-336501.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2791-129465.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2792-698311.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-493535.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2794-685277.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2795-442980.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-212761.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2797-284956.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2798-628968.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-553037.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2800-158467.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-361406.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2802-952212.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-607598.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2804-133213.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2805-290776.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-764783.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2807-837984.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-871918.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2809-233876.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2810-515964.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-974556.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-135595.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2813-401770.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2814-720052.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2815-110702.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2816-775123.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2817-461441.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2818-903420.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2819-339642.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-310840.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2821-127536.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2822-216728.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2823-740869.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2824-262530.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2825-364827.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-154545.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2827-899820.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-409172.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2829-311733.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-766656.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2831-508133.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-885527.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2833-793047.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-765391.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-407172.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2836-841884.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-849669.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2838-786027.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2839-607994.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2840-280439.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2841-394894.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-445425.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-708182.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-570487.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2845-751189.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-341896.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-318819.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2848-215678.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-599047.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-516483.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-652612.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-137025.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-821825.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-884707.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2855-184291.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-710627.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2857-917824.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2858-629456.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2859-110248.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-472939.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2861-182771.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2862-671337.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2863-462659.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2864-313262.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2865-639116.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-788190.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2867-462098.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2868-734088.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-145825.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2870-278429.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2871-507038.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2872-603129.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2873-234440.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2874-182209.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2875-193299.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2876-975780.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2877-264891.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2878-207000.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2879-399840.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2880-661398.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2881-132845.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2882-858478.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2883-591477.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2884-699085.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2885-276733.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2886-518013.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-440694.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-609351.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2889-489678.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2890-273042.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2891-128323.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2892-415500.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2893-553728.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2894-126000.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2895-914904.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-551427.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2897-879526.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2898-125114.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2899-304318.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2900-526539.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2901-889921.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2902-212470.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-452204.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2904-372199.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2905-462802.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2906-688377.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2907-522740.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2908-578822.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2909-919850.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2910-818064.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2911-445194.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2912-597261.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2913-451978.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-654583.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-354374.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2916-273039.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2917-480121.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-711035.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2919-630611.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2920-877939.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-455845.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2922-961765.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-228180.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2924-578755.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-486142.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2926-197442.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2927-485926.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2928-975006.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2929-451281.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2930-205848.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2931-896921.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-700739.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2933-442861.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2934-492794.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2935-843664.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2936-710712.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-314643.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2938-304473.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-650306.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2940-750606.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-343157.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2942-660461.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-730154.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2944-969283.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-431235.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2946-307935.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2947-411034.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2948-183742.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 2949-826143.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2950-554239.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-574971.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2952-694832.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2953-535371.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2954-632614.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 2955-790580.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-712895.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-616915.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2958-573430.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2959-548981.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2960-202247.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2961-591011.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-502141.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-623467.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-246405.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2965-757324.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2966-567226.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-740178.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-352024.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2969-592017.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2970-478936.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2971-106692.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2972-403095.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-737369.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2974-667309.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+2975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2975-387851.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-845441.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-759959.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2978-771643.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2979-413209.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 2980-893493.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-515278.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-732504.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2983-405519.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2984-736404.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+2985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2985-427538.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2986-380118.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2987-434959.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2988-608225.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2989-983988.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 2990-140837.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2991-364187.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2992-146229.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2993-912541.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2994-120656.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2995-226324.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+2996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2996-649859.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2997-540339.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+2998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 2998-230281.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+2999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2999-717715.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3000-832906.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3001-830961.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3002-853156.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3003-231086.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-462826.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-216237.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3006-148917.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3007-890701.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3008-495983.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3009-557333.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3010-694535.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-755956.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3012-539554.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3013-612225.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3014-866090.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3015-237609.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3016-859341.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3017-665413.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3018-215056.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-137341.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-405932.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-328910.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-240896.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3023-710631.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3024-419645.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3025-105988.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3026-885904.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3027-948168.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3028-611994.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3029-162780.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3030-929212.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-816523.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3032-254825.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3033-609905.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-396766.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3035-777114.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-827365.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3037-722112.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-881932.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3039-830102.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-418757.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-707453.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-425206.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-432850.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-409942.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-170391.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-550506.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-179101.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-948572.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-813982.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-280911.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-687421.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3052-443596.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-910923.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3054-301182.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3055-141427.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3056-388090.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3057-928650.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3058-640361.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3059-963387.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3060-843347.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-614599.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3062-499078.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3063-490409.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3064-769510.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3065-256143.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3066-842210.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3067-499550.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3068-867339.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3069-188789.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3070-508727.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3071-973574.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-706513.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3073-622691.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-530056.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-325554.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3076-225800.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-314053.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3078-140043.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3079-735796.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-210227.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3081-482573.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-413374.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3083-196640.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-387529.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-320245.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-763167.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-825493.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-375417.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-969565.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3090-185223.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3091-269879.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3092-616508.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3093-990077.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-268721.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3095-374436.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3096-740939.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3097-757982.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-815229.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-629042.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3100-134079.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3101-329663.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3102-203204.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3103-832203.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-545699.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-516889.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3106-323683.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3107-920620.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3108-676084.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-926153.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-822689.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3111-982425.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3112-787546.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3113-849718.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3114-118195.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3115-284714.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3116-721008.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3117-849915.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3118-710259.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-977713.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3120-328083.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3121-850571.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3122-153035.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3123-792146.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3124-642664.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-925648.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-794809.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3127-251194.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-220870.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-664041.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3130-490971.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3131-815547.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3132-560861.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3133-780436.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3134-695777.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-685556.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-969101.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3137-864656.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3138-907415.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-418336.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3140-197071.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3141-209023.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-524632.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3143-857241.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3144-488704.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3145-501002.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-524909.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3147-856555.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3148-212647.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-136615.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3150-363419.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-612035.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-297938.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3153-413524.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3154-167500.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3155-600721.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3156-592942.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3157-821917.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3158-609293.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3159-282505.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-486218.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3161-158357.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3162-910772.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3163-697585.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3164-827862.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-907919.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3166-106564.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3167-727799.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3168-823339.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-962676.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3170-898999.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3171-222749.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-761795.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3173-469104.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-108677.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3175-988713.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3176-239473.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-144967.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-960086.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-783833.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-836848.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3181-524075.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3182-622476.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-539543.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3184-952317.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3185-946357.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-897596.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3187-933030.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3188-894513.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3189-897461.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3190-636635.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3191-897712.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3192-794886.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3193-810749.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-189770.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3195-953302.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3196-451433.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-884707.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3198-316105.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3199-267651.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3200-843652.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3201-300329.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3202-499058.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-750016.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3204-831533.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3205-555168.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3206-195022.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3207-800793.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3208-246616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3209-489923.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3210-358991.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3211-907373.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3212-106251.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-860713.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3214-617741.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3215-755190.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-681455.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-588525.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-103118.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-645915.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3220-933967.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3221-613712.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-697173.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-807490.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-203497.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-230165.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3226-245234.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-805524.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-166062.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3229-770490.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3230-923329.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-549253.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-333833.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-886494.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3234-631097.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3235-302032.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-309910.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3237-997628.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-528084.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-367519.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3240-405322.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-553388.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-284790.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-779595.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3244-480966.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-788764.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3246-674245.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3247-586122.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3248-447849.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-723052.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-412040.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3251-110366.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-361889.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3253-404222.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3254-627854.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3255-721805.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-841145.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3257-434472.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3258-982473.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3259-657024.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3260-186871.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3261-210785.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3262-379719.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3263-764457.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-779307.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3265-815022.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3266-443410.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-568901.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3268-449521.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-976979.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-656454.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3271-897206.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3272-186198.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3273-269438.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3274-152964.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3275-209795.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3276-582198.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-743770.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-588434.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3279-775211.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3280-535093.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3281-756327.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3282-697599.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3283-630256.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-924079.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3285-666163.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-594708.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3287-572279.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3288-398312.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3289-831230.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3290-388053.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3291-684439.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-409516.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-608407.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-793137.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-384214.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-724128.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3297-393272.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3298-665344.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-280213.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-111115.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3301-513395.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3302-500922.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3303-534932.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-659188.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-873029.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-591775.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-803412.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-173262.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-777586.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-524398.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3311-816720.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-709461.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3313-169890.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-411023.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3315-953181.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-123162.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-549284.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3318-604189.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3319-394201.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3320-398670.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3321-380150.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3322-208737.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3323-795683.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3324-457246.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3325-376716.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3326-969340.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-348145.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3328-978764.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-917207.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3330-373988.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3331-672273.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3332-455091.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-385553.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-913111.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3335-333682.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3336-331654.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3337-245010.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3338-802758.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3339-430396.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-930833.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3341-456189.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3342-362446.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3343-222010.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-308994.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3345-517205.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3346-584892.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3347-194517.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3348-567909.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3349-568863.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3350-500693.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3351-440139.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3352-572244.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-181032.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3354-960997.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3355-675727.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3356-201413.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3357-907050.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3358-538437.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-787503.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3360-750349.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3361-464438.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3362-421726.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3363-936466.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3364-766618.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-986285.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3366-769369.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3367-222961.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3368-604603.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-527609.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3370-126349.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-898713.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3372-133305.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-330682.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-201220.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-384219.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 3376-390269.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3377-675830.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3378-786784.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3379-576253.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3380-551816.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-747655.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-375285.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3383-597425.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3384-568942.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-496354.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-535289.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3387-953692.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3388-526449.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3389-283149.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-636657.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3391-804899.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-260373.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3393-865169.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3394-920900.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3395-933262.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-876776.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3397-149171.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3398-195919.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3399-404997.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3400-941223.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3401-522012.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3402-488922.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3403-678440.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3404-158781.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3405-614764.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3406-374188.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3407-294403.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3408-957538.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3409-711536.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-583805.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-355706.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 3412-902262.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-821488.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3414-865554.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3415-593166.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-453750.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-441871.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3418-199279.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3419-110681.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-897720.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3421-373462.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3422-981242.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3423-626623.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-278182.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-305521.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3426-896478.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3427-884002.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3428-747919.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3429-960786.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-927225.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3431-276307.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3432-952546.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3433-615611.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3434-412736.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3435-717726.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-440380.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3437-924576.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3438-131185.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-825253.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-194402.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-344623.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-232391.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3443-781789.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3444-293496.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-773639.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-746076.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3447-122602.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-154877.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3449-358589.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-195247.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3451-942569.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3452-632823.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3453-359108.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-127031.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3455-208149.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-239958.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-749844.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3458-222408.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3459-102657.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3460-313220.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3461-120341.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-376038.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3463-604393.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3464-275433.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3465-641886.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-383397.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-914282.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3468-311825.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-822819.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3470-297748.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-654462.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-456921.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3473-215367.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3474-757348.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3475-392865.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-199026.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3477-791863.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-687077.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3479-835161.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-105953.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3481-555407.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3482-202619.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3483-367548.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3484-493531.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-175005.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3486-624471.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3487-148874.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-390579.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-431975.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3490-772580.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3491-253474.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-558786.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-375568.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-639196.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3495-581928.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3496-819437.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-438664.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-113090.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3499-159310.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3500-204551.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-924413.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-391147.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-720971.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3504-876848.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-773862.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-335225.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3507-718611.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3508-330590.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-889640.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-529057.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3511-171902.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-958799.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3513-277349.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3514-187029.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3515-588908.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3516-103023.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-764786.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-622538.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3519-346661.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3520-393512.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3521-668341.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-754905.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3523-636649.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3524-661531.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3525-568556.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3526-307603.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3527-914801.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3528-286873.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-878497.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-495239.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3531-809780.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3532-362994.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3533-506273.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-253355.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-749963.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3536-871962.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-349494.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-869140.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-639913.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3540-391970.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3541-440071.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3542-743766.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-575718.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3544-644154.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3545-592295.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-713549.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3547-504297.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3548-271735.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3549-896992.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3550-678810.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-775127.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3552-837581.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-380295.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3554-430675.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-205696.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-217767.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3557-382189.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3558-373702.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3559-803930.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-204892.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3561-388349.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3562-392475.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-347839.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3564-448970.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3565-896202.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3566-856551.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3567-632252.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3568-412576.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3569-333029.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-302808.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3571-502627.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3572-739420.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-951991.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-463083.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-158457.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3576-388764.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3577-123269.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-579845.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3579-908731.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3580-391631.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3581-640108.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-943768.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3583-515632.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3584-316251.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3585-785689.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3586-846683.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-713677.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3588-666530.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3589-896758.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3590-668168.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3591-285739.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3592-143826.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3593-779670.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3594-807168.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3595-950515.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3596-451922.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3597-801606.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3598-496215.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-250891.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-575290.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-573068.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3602-119044.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3603-606994.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3604-392335.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3605-860261.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-550776.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3607-229393.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3608-453642.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3609-816423.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3610-381261.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-822267.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-100112.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3613-387289.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3614-201622.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3615-437551.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-740660.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3617-560978.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-759861.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3619-328234.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3620-578068.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3621-247725.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3622-152234.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3623-860237.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3624-846776.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-207956.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3626-524723.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3627-684172.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-656968.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3629-143466.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-232837.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-767467.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-576120.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3633-259510.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3634-878787.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-244153.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3636-306817.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3637-232439.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-985694.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-102091.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-283558.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3641-476710.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-651338.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-248402.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-502713.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-328812.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-924749.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-445952.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-731402.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3649-536669.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3650-429430.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3651-601667.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-374379.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3653-664925.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-842282.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3655-862842.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3656-235768.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-690951.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3658-602752.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-880112.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-105809.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-456893.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3662-274893.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3663-107426.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3664-735861.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-566446.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3666-164260.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3667-990255.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-976939.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-104860.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3670-669767.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3671-823396.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3672-673514.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-537214.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-970758.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3675-187002.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3676-523411.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3677-538286.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 3678-135579.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3679-297891.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3680-214525.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-333072.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3682-317308.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-781818.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-827196.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-778426.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-902301.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-812473.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3688-297260.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-272813.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3690-974124.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-262476.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-608814.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-870427.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3694-683499.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3695-191807.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3696-499733.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-612828.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-146450.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3699-991208.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3700-804497.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3701-441605.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3702-767752.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-565172.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-331294.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-242391.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3706-587053.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-221878.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-639943.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-660275.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3710-304148.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-682367.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3712-685855.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-952697.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3714-984470.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3715-669550.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-664198.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-643148.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-849238.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-466282.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-237781.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-516891.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3722-949191.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-470549.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-188537.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3725-859057.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-933593.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3727-366080.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-748472.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3729-715762.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-131429.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-647286.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3732-594506.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-387627.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3734-161416.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3735-775670.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-896974.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3737-181352.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-589711.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3739-785171.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3740-880595.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3741-645781.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3742-732944.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-416248.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-161006.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-286879.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3746-772850.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3747-458909.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3748-930252.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3749-718186.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-500809.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3751-863031.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-559228.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3753-708238.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-296464.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3755-391876.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-645456.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-879566.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-164915.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-109109.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3760-255941.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-789980.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3762-412457.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-925370.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3764-239086.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-107835.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-978935.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-552151.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3768-989624.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3769-168522.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3770-993737.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3771-672972.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-905885.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3773-277898.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-975920.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-366272.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-340441.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-203592.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-418179.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3779-180718.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-476735.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-959088.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-470196.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-436753.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3784-332931.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-769768.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-196451.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-707070.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-158863.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3789-327639.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-711274.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-398132.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3792-445534.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3793-105127.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3794-336373.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-652791.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3796-805631.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3797-764306.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3798-251708.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3799-183604.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-910557.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3801-795133.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3802-215538.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-952252.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-871932.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-889660.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3806-168692.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3807-624794.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3808-447025.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-366060.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3810-376517.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3811-750888.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3812-349073.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3813-440783.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-569623.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3815-268459.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3816-421610.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-509753.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3818-343481.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-471953.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-339255.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3821-593966.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-613327.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-953214.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-730513.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3825-426092.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3826-687034.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3827-338447.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-581560.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-268301.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-825128.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-171686.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3832-967511.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-721797.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3834-200900.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-925792.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-145238.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3837-874669.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3838-673763.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-943963.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-753135.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3841-640227.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-672941.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3843-428254.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3844-410940.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-110579.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-861467.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-335131.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-898500.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3849-147980.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-877028.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-772342.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-513416.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-979193.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3854-504322.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3855-420485.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3856-327442.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3857-372584.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-370200.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-178018.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-687602.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3861-322994.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-779771.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-428010.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3864-890651.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3865-686304.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3866-125485.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3867-413664.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3868-157801.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3869-440774.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-348478.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3871-820849.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-556206.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3873-188695.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-985050.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3875-515671.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3876-209231.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3877-653712.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3878-630795.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-925684.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3880-310901.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3881-410492.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3882-812539.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3883-394628.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3884-361514.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3885-524599.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3886-449618.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3887-628790.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-511996.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3889-832882.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3890-756484.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3891-300481.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-225847.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-595179.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-458533.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-787337.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3896-545927.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3897-679209.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3898-422719.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-537675.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-376593.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-193566.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-880990.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-948465.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3904-329556.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-381721.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3906-203351.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-106461.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-170742.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-743486.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3910-331709.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-310618.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3912-544513.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3913-864799.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-350943.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-692843.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-705862.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 3917-125012.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-197660.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-556506.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-880579.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-384217.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3922-828920.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3923-132483.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-668475.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-588229.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3926-223868.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3927-235387.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3928-551479.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-187669.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-605700.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-317905.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-180771.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-138176.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3934-690560.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-821083.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3936-436091.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-112821.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3938-365701.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-645011.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-966440.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3941-589406.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3942-796640.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3943-103589.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3944-824350.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-112482.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3946-711075.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-358928.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-585098.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3949-759221.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-796103.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-782386.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-748489.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-476091.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-431253.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-710198.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3956-984089.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-607249.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-908234.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-746567.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3960-976171.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-964152.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-878171.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-505009.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-621529.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-880098.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-444931.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 3967-808087.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-838272.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-142262.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-561165.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3971-798061.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-600785.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3973-370945.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-830331.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-927232.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3976-706373.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3977-349369.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 3978-407214.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-530758.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3980-531598.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3981-544432.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-875480.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-986482.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3984-356296.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-152312.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3986-632164.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-118918.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 3988-326945.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-105342.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-719583.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3991-402316.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+3992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3992-694744.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3993-412603.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3994-800755.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3995-532866.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+3996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3996-343784.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+3997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3997-539889.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+3998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3998-913917.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+3999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3999-662056.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4000-102548.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4001-603691.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4002-204626.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-147002.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-169034.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4005-833702.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4006-513962.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4007-206481.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4008-120857.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4009-494239.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4010-252076.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4011-724539.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4012-541901.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4013-863759.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-472241.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4015-976059.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4016-574170.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4017-643970.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4018-587894.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-323147.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4020-660697.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-142164.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4022-378254.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4023-722982.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-581528.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-937899.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-293237.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4027-775664.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-975294.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4029-887445.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4030-144831.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4031-123123.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-225401.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4033-159908.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4034-316574.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-640375.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4036-556562.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-141212.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-638866.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-985069.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4040-988653.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4041-420845.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4042-818862.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4043-966693.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4044-565402.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4045-219278.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-582157.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4047-882244.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4048-175255.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-515690.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4050-772817.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4051-698353.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4052-239082.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4053-369976.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-258829.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4055-256035.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4056-976161.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4057-556878.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4058-260335.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-184534.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-267657.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4061-601934.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-773754.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4063-772591.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-446087.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-619718.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-696486.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4067-246363.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4068-334217.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4069-925227.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-408456.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-150909.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-284592.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4073-362552.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-566435.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-401647.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4076-973665.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4077-416157.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4078-260029.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4079-511666.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4080-815057.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-514774.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4082-253594.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-635696.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-605219.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-147292.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4086-693062.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-882738.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-453939.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-337668.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-301544.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-748930.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4092-624316.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-917482.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-201109.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4095-944305.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-867567.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-108199.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4098-902242.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-194993.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4100-251155.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4101-338096.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-109050.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4103-572431.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4104-327603.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-817222.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-250857.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4107-668657.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-955114.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4109-626884.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4110-640348.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4111-927916.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4112-309957.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4113-337874.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-559936.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4115-374844.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4116-639285.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-775400.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4118-903310.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4119-121361.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 4120-651137.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4121-475485.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-845373.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4123-276692.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4124-941549.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4125-495002.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-722937.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4127-411693.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4128-391490.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4129-458206.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-900868.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4131-767264.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4132-406091.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4133-597695.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-535154.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4135-991889.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4136-899595.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-751851.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4138-245610.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4139-130630.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4140-178090.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4141-389110.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4142-240237.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-334116.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4144-934394.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-741459.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4146-953907.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-859111.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-272950.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4149-544793.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4150-761922.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4151-485048.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 4152-705785.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-552892.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4154-343235.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-239264.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4156-945627.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-573835.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-699667.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4159-601498.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-991955.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-619435.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-583954.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-480795.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4164-208830.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-774003.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-338820.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-454853.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4168-203495.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-558579.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4170-894393.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4171-734917.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-668335.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-215128.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4174-934467.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-930423.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-697325.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-243091.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-397307.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-784711.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4180-725241.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-134545.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-554465.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-384931.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-377593.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-607663.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4186-628541.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-928793.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-293257.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-438405.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-422999.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-561396.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4192-751067.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4193-429733.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-920691.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-673838.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-254123.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-137437.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-686469.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-187913.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-672268.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-231488.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-505499.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-442193.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-401680.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-878819.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4206-535686.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4207-617714.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4208-584417.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-938902.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-232003.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4211-390693.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4212-780905.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4213-227453.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-263539.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-145103.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4216-455500.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4217-393494.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-877669.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-815298.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-673473.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4221-729579.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-371092.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-591499.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4224-588311.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-985406.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-171626.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4227-200948.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-112266.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4229-449980.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-198081.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4231-878287.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-221275.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4233-160708.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4234-703857.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-957671.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4236-166627.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4237-607131.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4238-484305.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4239-346667.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4240-132030.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-978488.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-120202.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-979132.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-343335.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4245-812746.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-758376.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4247-691270.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4248-126995.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4249-736810.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-824271.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4251-425785.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-561741.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4253-679360.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-599336.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-225694.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-628483.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4257-623033.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-943905.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4259-281026.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4260-238202.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4261-719032.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4262-351944.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-279147.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4264-611329.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4265-928043.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4266-881820.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-904029.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4268-252047.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-156549.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4270-311910.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-927898.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-410652.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4273-674126.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4274-119996.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4275-175185.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-600052.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-575347.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-782775.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4279-403730.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-251484.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-207526.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-595538.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4283-924393.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4284-398329.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-664539.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4286-807088.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4287-112854.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4288-968363.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4289-631653.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4290-979066.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4291-496794.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4292-730745.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-874022.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-971031.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4295-297077.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4296-645041.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-100804.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-235248.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4299-704364.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4300-140398.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-706062.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4302-661685.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4303-272407.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4304-462085.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4305-393821.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-504773.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4307-364978.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-303015.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4309-495000.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4310-648510.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4311-177428.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4312-424352.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-664587.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-815315.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-818802.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4316-814980.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4317-687528.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 4318-620137.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4319-916512.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4320-668411.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-651155.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4322-302995.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4323-823573.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4324-167877.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4325-324722.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4326-541308.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4327-628373.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4328-175103.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4329-836484.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4330-245385.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-963622.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-825225.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-422374.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4334-361613.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-303410.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4336-205546.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4337-501761.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4338-875221.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4339-931824.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4340-634826.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4341-804214.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-258538.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-530682.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4344-676432.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4345-312681.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4346-451385.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4347-662673.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-608199.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-642842.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4350-104909.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4351-687112.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-258029.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4353-814416.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4354-624027.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-994235.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4356-652797.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-277213.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4358-477562.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4359-261037.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4360-798510.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4361-807752.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4362-621395.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4363-740099.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4364-956557.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4365-991977.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4366-538582.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4367-674003.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4368-931442.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-345294.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4370-193259.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-546291.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4372-292113.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4373-872769.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4374-384798.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4375-341958.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4376-623814.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4377-409744.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-651760.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-897977.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-812270.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4381-418566.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4382-455169.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-839664.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4384-815273.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4385-723568.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4386-620960.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4387-340986.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-584827.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-664098.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4390-201373.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-691942.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4392-444574.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4393-876813.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-543840.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-220487.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-722239.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-275642.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-835885.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-602009.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4400-364176.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4401-804499.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4402-253892.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4403-432681.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4404-482667.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4405-240616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 4406-242771.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4407-620482.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4408-781249.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-347833.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-665641.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4411-253314.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4412-418926.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4413-299766.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4414-534895.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4415-955753.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-933082.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4417-466311.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4418-407092.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-952571.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4420-327278.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4421-503083.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4422-866570.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4423-611761.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-824065.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4425-439363.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4426-251695.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4427-956212.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-172320.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-179287.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4430-652970.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4431-192926.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4432-556148.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4433-803194.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4434-364275.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-645444.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4436-430001.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4437-572101.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4438-836354.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-536867.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4440-577825.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4441-332578.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4442-330031.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4443-669753.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4444-681463.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4445-360004.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4446-314316.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-974221.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4448-117662.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4449-831631.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4450-186934.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4451-610252.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 4452-919938.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-522100.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-240231.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4455-316570.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 4456-791172.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-362665.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4458-452004.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4459-403109.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4460-790832.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4461-659313.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4462-786574.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4463-686797.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4464-125673.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4465-194683.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-257299.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-310517.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-411600.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4469-839788.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4470-533309.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4471-581318.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4472-644820.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-989065.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4474-827440.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4475-738469.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4476-321139.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4477-344273.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4478-705118.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4479-878686.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4480-965044.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4481-690600.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-815958.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4483-164099.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4484-570018.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4485-795985.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-467580.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4487-149455.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4488-265610.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4489-130529.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-776566.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-914409.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-898979.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4493-883524.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-634679.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-366391.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4496-868707.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-574469.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-437887.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4499-694738.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-689799.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4501-204509.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4502-845071.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4503-767684.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4504-943256.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-588078.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4506-864325.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-577536.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4508-654989.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4509-949600.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4510-368142.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-759972.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4512-643186.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-254874.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4514-184764.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4515-460106.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4516-857917.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4517-139756.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4518-401755.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4519-628541.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4520-580891.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4521-457217.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4522-851312.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4523-490742.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4524-233631.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4525-273593.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-735094.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4527-144568.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4528-750457.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-207568.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-102952.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-458379.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4532-885309.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4533-965108.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4534-542493.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4535-785478.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4536-353330.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4537-191249.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-819156.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-318667.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-167566.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-577143.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4542-520631.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-444468.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4544-376636.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-660586.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4546-815229.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4547-744986.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4548-322811.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4549-787423.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4550-365110.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4551-376113.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4552-808879.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4553-107645.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4554-131560.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4555-380482.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-694675.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4557-599170.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4558-976649.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-137181.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4560-180594.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4561-410615.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4562-349539.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-946720.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4564-122066.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4565-970109.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-564877.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4567-692914.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-244668.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-871923.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4570-661749.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4571-130322.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-348934.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4573-263520.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4574-666538.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4575-439372.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4576-107391.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4577-870862.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4578-763906.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4579-331761.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-268779.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4581-631581.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4582-553957.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4583-183771.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-504632.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-750393.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4586-582911.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4587-979616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-949940.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4589-312794.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-202827.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4591-162164.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-492063.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4593-677295.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-733689.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4595-902866.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-326405.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-363350.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4598-487589.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-234143.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4600-172458.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4601-787750.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-141811.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-217033.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4604-366551.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4605-409776.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4606-743655.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4607-221131.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4608-238187.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4609-755623.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4610-115390.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4611-737406.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4612-222898.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4613-341747.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4614-634007.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-723376.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4616-539270.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-777297.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4618-114581.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-791064.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4620-323027.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-607323.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4622-324750.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-818513.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4624-726497.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-991093.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4626-860138.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-498448.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-588964.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4629-782678.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4630-369560.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4631-723464.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-693324.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4633-331550.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-247277.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4635-140454.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-324716.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4637-191937.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4638-784695.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4639-789406.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-611991.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4641-494607.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4642-951953.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4643-931018.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4644-920279.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4645-115443.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 4646-844966.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4647-208295.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4648-348434.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4649-909803.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4650-411925.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-200652.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4652-723984.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4653-173673.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4654-243434.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4655-978932.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4656-896135.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4657-404200.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4658-559860.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-753002.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4660-435427.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-260942.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4662-176433.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4663-304261.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4664-972449.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-228109.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4666-603145.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-641183.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-433441.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4669-798690.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4670-291913.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4671-895843.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4672-102408.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-500073.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4674-105267.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4675-681665.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-952774.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-779031.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4678-946739.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4679-533758.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4680-985983.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4681-100447.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4682-654295.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4683-547505.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-458376.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4685-516000.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4686-199812.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4687-824489.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-354267.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-415304.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4690-738521.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-947617.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-671376.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4693-859123.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4694-148195.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4695-895707.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4696-910529.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-566803.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4698-868820.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4699-172967.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4700-269057.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-424912.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4702-979535.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4703-559501.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4704-596504.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4705-918907.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-615450.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-514810.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4708-815738.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4709-986924.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-840740.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4711-257686.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-254179.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4713-510787.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-109781.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-633527.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-102797.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4717-332917.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4718-146716.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4719-955411.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-280932.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4721-962808.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4722-563479.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-619293.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4724-937515.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4725-892116.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-898195.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4727-104192.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4728-422934.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4729-924825.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-828830.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-429985.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4732-976876.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4733-485441.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-651240.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4735-692856.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-419230.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4737-316285.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-339546.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4739-221177.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-222679.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-335837.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-778895.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4743-607148.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-629807.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4745-828480.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4746-202376.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4747-228116.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4748-147530.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-192685.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4750-776676.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4751-819857.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4752-444090.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4753-536512.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-500166.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-734620.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-288431.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-475112.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4758-555188.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4759-297737.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4760-186008.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-208768.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4762-312573.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4763-404921.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-853929.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-147033.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-244900.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4767-552770.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-505390.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4769-832867.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4770-728473.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-310141.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4772-997984.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-394953.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4774-435974.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4775-674287.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4776-965289.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-604124.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-687107.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-902610.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4780-454931.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4781-919782.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-563361.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-588814.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-549200.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-732788.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4786-832513.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-511886.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4788-464169.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4789-277264.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-848594.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4791-705228.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4792-313262.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-528453.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-640834.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4795-435679.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-373069.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-783126.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4798-978297.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4799-908467.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4800-586796.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4801-123091.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4802-184457.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4803-697066.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4804-136385.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-742844.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4806-793807.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-961642.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4808-332276.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4809-385788.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4810-103486.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-428965.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4812-187672.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-154142.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4814-422768.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4815-722013.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-718736.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4817-326777.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-537188.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4819-175738.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-821325.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4821-314849.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4822-510127.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 4823-901706.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4824-657957.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-242634.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-439169.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-353563.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-865219.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-650616.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4830-583288.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-312111.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4832-833557.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4833-420103.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4834-263135.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-633265.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4836-163382.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4837-330616.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-801274.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-648671.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-797250.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4841-590836.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-192803.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4843-225749.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-282282.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-913569.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4846-777224.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4847-301955.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-288912.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-649998.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4850-461443.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4851-493337.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-722675.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4853-766768.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-199458.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4855-757963.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-433559.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-875671.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-990226.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-322495.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-908816.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4861-836728.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4862-948949.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-453883.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-259176.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-200611.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-984044.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4867-438716.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4868-948360.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4869-456819.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-769550.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-253817.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-406960.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4873-943638.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4874-862897.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-597808.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4876-344609.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4877-563790.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-976813.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4879-208067.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4880-347408.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-313507.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-128159.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4883-983591.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4884-322477.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4885-771379.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4886-301828.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4887-479360.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4888-390111.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-208919.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4890-859605.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4891-298302.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4892-411340.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-871280.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4894-387109.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-932813.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-353184.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4897-945545.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4898-458085.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4899-369629.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-575210.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-327123.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-750934.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-192496.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-126609.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4905-340898.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4906-324638.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4907-254331.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4908-423632.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4909-396181.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4910-912691.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4911-123185.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4912-357871.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4913-276239.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-957722.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-366089.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-107762.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4917-719375.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4918-501895.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4919-252781.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4920-793033.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 4921-249695.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-926706.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-774443.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-302321.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-855800.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4926-848193.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-789599.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4928-819229.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4929-873059.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4930-779914.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4931-315127.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4932-791180.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4933-278567.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4934-684972.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-412079.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4936-753287.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-419017.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4938-990088.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4939-692661.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4940-346722.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-335479.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-294544.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4943-581214.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4944-636478.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-877369.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4946-139037.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4947-234038.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-969941.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4949-374362.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4950-407421.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4951-861769.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4952-316125.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4953-328844.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4954-152530.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4955-366737.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4956-396164.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4957-391378.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4958-340950.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-953224.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-879772.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-631097.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-327089.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4963-753452.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4964-468431.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4965-410375.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4966-414753.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4967-609513.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4968-400527.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4969-755126.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4970-622537.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4971-110949.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-760169.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4973-162616.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4974-745989.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-211463.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-990467.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-767474.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-381809.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4979-666532.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4980-741569.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-714984.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4982-412090.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 4983-504350.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4984-564790.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4985-179325.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-576250.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4987-106118.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-834357.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-563201.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4990-253161.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4991-723583.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-485992.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+4993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4993-721974.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4994-421141.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+4995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4995-143362.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+4996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-110588.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-231346.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+4998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 4998-545916.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+4999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4999-501906.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5000-504408.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-453279.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5002-646301.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5003-890313.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5004-100956.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5005-553249.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5006-654542.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5007-909226.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5008-868142.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5009-185582.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5010-803809.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5011-375733.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5012-134700.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5013-773701.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-267220.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-648285.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5016-167546.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5017-716436.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5018-195226.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5019-809181.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5020-939569.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5021-898130.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5022-727688.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5023-915904.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5024-749811.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-384702.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5026-852132.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5027-593914.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-438933.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5029-824483.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5030-980017.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-733200.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-206679.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5033-238832.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5034-263022.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5035-472127.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5036-679047.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5037-521514.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-278058.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5039-485981.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5040-155167.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-284797.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5042-847016.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5043-466878.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-185989.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5045-410509.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-481097.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-129503.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5048-543481.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-194665.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5050-990583.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5051-468591.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5052-610632.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-396915.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5054-452758.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5055-497468.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-783139.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5057-584300.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5058-787515.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5059-411575.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5060-368090.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5061-356538.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5062-875925.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5063-915740.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5064-420895.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5065-183859.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5066-380679.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5067-367171.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5068-982860.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-404432.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-831212.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-251309.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5072-344008.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-205546.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5074-541288.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-581837.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5076-505489.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5077-544768.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5078-688524.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-358544.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-970884.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-717180.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5082-317101.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5083-402549.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-658933.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-279700.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-111741.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5087-311646.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5088-159408.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5089-978398.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5090-661330.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5091-938154.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-193349.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5093-854981.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-209351.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-605689.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5096-513425.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5097-578048.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-670204.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5099-217210.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5100-988034.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5101-980509.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5102-938179.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5103-586471.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-120810.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5105-732800.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5106-984501.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-656525.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-930502.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5109-797355.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-164063.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5111-868813.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5112-366653.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-736411.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-253529.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5115-877161.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-437221.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5117-898064.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5118-694888.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-373991.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5120-651206.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5121-770509.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-555795.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5123-261309.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-192688.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-610473.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-647442.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5127-450484.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-302732.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-303867.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5130-639027.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5131-320509.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-589307.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5133-668331.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5134-873967.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5135-582546.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5136-837594.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5137-272597.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5138-563983.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-759540.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5140-310115.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5141-566603.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5142-829138.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5143-917589.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5144-337326.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5145-709109.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5146-468502.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5147-467568.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-365103.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5149-347703.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5150-836913.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-103435.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5152-188259.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5153-688486.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5154-480230.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-989496.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5156-667574.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-846501.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5158-744564.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-164377.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5160-136211.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-826931.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-725663.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-404065.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5164-968496.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5165-171945.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5166-126525.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-384317.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-586086.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5169-263676.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5170-650840.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5171-727754.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5172-645074.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5173-965446.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-910620.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-874773.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5176-159948.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5177-643360.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5178-878448.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-117000.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5180-422138.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5181-731751.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-249385.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5183-860255.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-211371.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5185-801123.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-507981.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5187-331996.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5188-852916.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5189-257304.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5190-437205.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5191-682959.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5192-257118.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5193-746100.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5194-422734.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5195-104957.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5196-690970.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5197-543421.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-462856.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-620183.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5200-158032.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5201-867742.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5202-555446.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5203-552955.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5204-450458.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-656763.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5206-978109.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-986465.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-922792.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5209-224416.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5210-704037.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-169367.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-559692.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-505508.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5214-268592.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-591885.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5216-364612.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5217-148360.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5218-697355.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5219-435487.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5220-167446.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-650422.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5222-797792.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5223-480571.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-837959.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-736834.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5226-143884.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5227-413868.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5228-903496.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5229-373785.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-870446.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-248465.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-998333.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5233-126703.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5234-609456.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5235-766993.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5236-187152.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5237-945742.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5238-116135.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5239-718182.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5240-902125.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-898309.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5242-668946.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-373660.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5244-591470.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5245-848760.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5246-762821.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5247-918761.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5248-490301.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5249-259733.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5250-359588.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-356377.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5252-411426.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-539781.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-951342.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5255-272731.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5256-316897.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5257-689716.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5258-507564.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5259-239412.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5260-858036.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5261-605057.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5262-459068.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5263-803189.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5264-954552.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5265-404663.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-472005.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-948019.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5268-650472.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5269-506871.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5270-655930.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5271-368239.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-116022.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-327502.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5274-102487.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5275-318151.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5276-349934.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-367889.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-625689.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-787861.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5280-791093.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5281-166883.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-151683.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-853506.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5284-578222.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-337318.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5286-649685.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5287-121417.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-156299.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5289-234748.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5290-387420.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5291-696169.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5292-500280.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5293-363244.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5294-776964.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5295-544969.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5296-686589.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5297-615013.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5298-407514.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-793689.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5300-299934.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5301-121633.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5302-918964.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5303-372824.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-202844.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5305-505698.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-396336.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5307-273154.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5308-415738.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5309-803955.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5310-773493.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-476628.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5312-902568.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5313-436841.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5314-809435.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-117333.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5316-199334.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-616586.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5318-150551.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-797304.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5320-582198.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5321-735651.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5322-430983.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5323-665870.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5324-589318.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5325-197587.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5326-941702.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5327-117532.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5328-489688.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-863433.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5330-561677.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5331-351265.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-973109.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5333-676612.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5334-125502.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5335-389350.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5336-657224.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5337-138964.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5338-167607.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5339-473382.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5340-927681.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5341-800204.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5342-199669.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5343-202444.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5344-362779.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5345-957454.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5346-498126.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-438255.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5348-407744.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-236789.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5350-383152.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-802333.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-571012.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5353-610151.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-389223.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5355-212739.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-339687.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5357-373171.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5358-977992.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5359-485544.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5360-978102.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-605649.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5362-528122.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5363-108387.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5364-493464.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5365-287096.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5366-532338.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5367-587735.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5368-239311.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5369-130372.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-435601.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-771820.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-330090.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5373-703835.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5374-762229.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5375-247819.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5376-661904.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5377-547841.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5378-106857.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-569786.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5380-688753.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5381-528462.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5382-482258.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-773076.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5384-988262.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5385-570635.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5386-457746.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-153555.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-133230.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5389-129948.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-931619.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5391-621694.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-843978.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5393-426641.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-349770.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-913942.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-329060.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5397-916691.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-204421.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-611955.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5400-784098.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5401-265728.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5402-105108.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5403-838419.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-223072.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-361682.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5406-197111.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5407-112025.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5408-471590.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5409-410513.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5410-272999.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-404696.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5412-115062.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5413-839360.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5414-302969.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5415-103399.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5416-516995.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5417-476901.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-167970.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-553916.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5420-803002.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-509244.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5422-964534.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-775855.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5424-758998.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-623486.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5426-887241.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5427-227913.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5428-490332.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-190734.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5430-100087.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-760970.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-908297.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5433-508476.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5434-519048.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5435-634976.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5436-989071.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5437-291900.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5438-662172.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-954503.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5440-338242.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-470026.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5442-907629.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-742858.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5444-761492.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5445-963393.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5446-728082.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5447-681608.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5448-321661.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5449-943610.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5450-788863.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5451-493042.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5452-495414.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-915498.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5454-188056.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5455-716797.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5456-858312.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5457-256058.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5458-365105.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5459-428380.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5460-218809.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5461-259236.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5462-670812.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5463-394139.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5464-708916.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5465-259499.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-637987.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-218215.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5468-797810.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-197836.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5470-509185.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5471-498267.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5472-193075.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5473-682804.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-541887.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5475-295859.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5476-252767.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5477-199012.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5478-139297.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5479-773244.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-701536.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5481-123347.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-331799.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-582938.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-143037.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5485-767864.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5486-416199.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5487-117020.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5488-995927.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-476389.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-819572.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5491-420579.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5492-460565.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5493-175879.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-689645.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-343558.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5496-639433.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5497-649532.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5498-145841.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5499-896785.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-964364.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5501-534938.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-952919.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-539262.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5504-626340.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5505-892114.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-782973.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5507-734227.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5508-550173.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-905495.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-791522.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5511-100516.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5512-175338.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5513-927409.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5514-786683.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5515-650098.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-179574.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5517-434295.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-910348.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5519-156389.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-983142.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5521-416487.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5522-393468.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5523-619394.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-228085.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-946405.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5526-848826.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5527-769434.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5528-382104.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5529-413175.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-513005.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5531-121614.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5532-640047.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5533-635710.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5534-198206.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5535-623417.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5536-777480.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5537-487305.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-965298.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5539-697221.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5540-974539.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5541-387400.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-481903.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5543-357301.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5544-561209.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-940884.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5546-705341.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5547-272155.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5548-421656.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-204777.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-332093.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5551-366408.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5552-648510.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5553-612472.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5554-118288.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-821352.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5556-466546.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-535591.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-216051.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5559-652395.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5560-853434.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-732555.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5562-573627.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5563-637883.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5564-127718.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5565-647288.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-872496.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-356732.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5568-990209.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-151660.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-848851.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5571-844012.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5572-197052.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-671415.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-294258.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5575-724559.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5576-481308.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5577-325906.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-145417.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-457414.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5580-520261.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5581-565339.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5582-139970.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-559277.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5584-242428.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-920250.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5586-135556.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-371036.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-477165.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5589-330598.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5590-622413.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-411574.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5592-298496.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-662118.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5594-853236.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5595-726466.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-589440.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5597-257992.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5598-583268.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-351830.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-540541.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5601-229749.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5602-902107.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5603-178147.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5604-215547.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-926243.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5606-745306.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-622292.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5608-952731.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5609-466850.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5610-859832.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5611-634916.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-322259.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5613-706405.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-647440.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5615-999503.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-886823.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5617-404976.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5618-929367.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5619-403110.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5620-606861.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-485065.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5622-170515.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5623-352633.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5624-310715.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-557033.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-178624.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-473305.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-652399.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-313118.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-851389.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-308006.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-617702.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5633-801031.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-498394.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-627278.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-343592.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-524378.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5638-244929.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5639-257529.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-288148.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-818148.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5642-449311.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5643-136080.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5644-939138.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5645-149664.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-187271.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-552195.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5648-558235.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5649-298375.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5650-494173.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5651-730734.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 5652-558738.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5653-282575.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5654-577607.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5655-920162.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5656-130657.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5657-429318.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5658-693773.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5659-665947.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-634328.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5661-345312.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-620763.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5663-593872.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-215400.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-164822.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-975337.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-182795.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5668-662206.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-358236.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-812114.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5671-236369.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5672-374213.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5673-998510.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5674-955745.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-789420.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-406251.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5677-887549.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5678-178372.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5679-867300.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5680-293893.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5681-665930.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5682-840501.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5683-450281.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5684-915011.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5685-332942.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5686-565725.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5687-218018.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5688-305048.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5689-386869.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5690-256128.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-254721.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5692-412726.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5693-863445.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5694-692869.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-143389.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-380162.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-296613.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-115987.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5699-424999.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5700-532956.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-697197.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-254069.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-434849.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5704-251513.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-202798.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5706-724494.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5707-882614.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-231327.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5709-452189.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-241012.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-159149.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-462389.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5713-650252.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5714-741539.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5715-595742.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-273290.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-318099.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-904029.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5719-483792.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5720-179601.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-169599.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-889240.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-112287.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-617661.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-971226.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-153079.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-729560.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-742210.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-823224.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-976155.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-903925.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5732-785111.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-265295.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5734-492429.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-130073.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-115549.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5737-302106.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-151037.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-265951.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5740-489913.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-939141.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-791307.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-446024.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5744-455764.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-986766.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5746-990743.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5747-581471.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-331266.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5749-749369.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5750-586152.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5751-862189.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-344711.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-841125.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5754-396147.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5755-978771.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5756-388171.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5757-578784.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5758-238617.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5759-523975.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-560563.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5761-826326.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5762-835238.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5763-579311.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-385423.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5765-971507.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5766-868902.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5767-674022.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-361349.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-208380.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5770-728001.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-826712.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5772-169103.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5773-649720.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-506612.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5775-633274.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-565207.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5777-983556.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5778-424840.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-199572.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5780-474940.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5781-359361.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 5782-609902.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5783-920314.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5784-694770.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5785-116728.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5786-996310.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5787-177253.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-535017.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-176130.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-862466.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5791-525128.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-238486.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5793-626505.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-786410.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5795-114383.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-634884.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-919393.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5798-222212.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-392207.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5800-260543.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-400489.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5802-839031.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-909871.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5804-951101.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-343931.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5806-745049.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5807-869970.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5808-896554.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5809-910210.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-693541.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5811-552315.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-361533.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5813-489743.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5814-825051.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-918396.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-860967.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-481388.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5818-655264.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-586740.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-464155.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5821-759702.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-434819.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5823-158580.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-721407.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5825-658074.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-887037.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5827-457595.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5828-671704.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5829-349738.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5830-626144.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5831-275957.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-997939.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-393315.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5834-485599.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5835-969417.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-449034.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5837-843078.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-773511.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-507502.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5840-112107.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5841-451968.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5842-176365.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-850513.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5844-311769.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5845-903116.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5846-184984.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5847-743948.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5848-270327.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5849-128151.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5850-361959.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-922504.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-559152.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-811870.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5854-370432.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-149442.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-509674.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5857-971358.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-110740.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5859-776223.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5860-657606.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5861-852346.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5862-682749.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-105396.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5864-651395.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5865-159812.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-661216.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-466587.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-593859.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-480356.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5870-664501.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5871-985973.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5872-901923.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5873-241595.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5874-869231.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-966860.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5876-300221.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5877-296830.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5878-424265.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-153018.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5880-173887.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5881-171098.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-818879.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-436483.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-424535.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5885-204619.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-114834.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-451206.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5888-630550.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 5889-787146.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-330509.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-503499.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-839425.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5893-463558.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5894-869775.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5895-645408.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-817654.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5897-393167.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5898-786232.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5899-117694.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5900-156603.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-918536.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5902-561938.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-376208.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-460969.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5905-612672.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5906-320872.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5907-217398.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-275014.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5909-735037.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-755229.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5911-941283.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-819453.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5913-696976.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5914-654089.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5915-519648.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5916-411206.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5917-579894.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5918-107783.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5919-954170.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5920-399934.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-141182.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 5922-350468.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5923-265917.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-592812.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-912588.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-865684.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-576822.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-244206.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-667758.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5930-508257.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-674783.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-991352.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5933-424763.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-925812.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5935-608817.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5936-692069.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5937-170080.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-236570.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-829400.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5940-217574.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-849039.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-564347.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-462853.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5944-883353.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-985070.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-781189.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5947-124014.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-642234.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5949-348752.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5950-514208.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-972740.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5952-494647.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5953-447621.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-818181.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 5955-836725.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5956-177675.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5957-727324.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5958-888276.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-441230.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-330868.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5961-807606.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-206021.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-832597.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5964-782902.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-620615.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5966-778447.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5967-181543.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-856920.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-463110.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5970-766151.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-366359.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5972-224571.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5973-459451.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5974-305524.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5975-677983.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5976-438425.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-496323.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-791245.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5979-258859.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 5980-432569.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5981-954696.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5982-706291.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5983-517738.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5984-233595.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5985-661724.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-630597.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5987-824478.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-850836.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5989-825328.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-405065.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-753153.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-658318.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5993-721464.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+5994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-525939.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+5995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-941304.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+5996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-124101.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5997-682841.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+5998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-996948.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+5999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5999-491529.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-129313.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6001-319616.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-813029.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-239263.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6004-385150.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-255424.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-480008.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6007-452371.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-436120.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-930342.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6010-228510.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-829628.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6012-206084.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6013-265625.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-896594.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6015-486796.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-150143.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6017-241347.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-272704.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-777113.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-122832.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-159929.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6022-289645.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6023-127695.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6024-122727.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6025-163505.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6026-371676.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-619948.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6028-465246.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6029-594929.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6030-220492.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6031-391310.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-489683.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6033-251140.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-925689.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-234537.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6036-692009.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6037-749073.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-639812.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6039-167755.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6040-792969.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-598304.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6042-774083.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-804849.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-157852.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6045-587024.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6046-950401.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-562067.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6048-181283.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6049-456448.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6050-112600.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-831943.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-900547.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6053-847210.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-310172.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6055-582241.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6056-826485.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-343538.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6058-242701.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-965885.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-134048.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-757443.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-439498.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6063-207680.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-306818.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-704220.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6066-416256.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-997453.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6068-351939.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-368671.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6070-613539.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-352195.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-985989.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6073-783011.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-329120.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-143490.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6076-582672.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6077-747681.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6078-279366.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-129323.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6080-649544.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6081-228155.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-906457.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6083-372543.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-636253.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-556437.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-568864.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6087-723018.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6088-214977.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-328621.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6090-815497.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6091-744105.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6092-537760.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6093-788211.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6094-232385.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6095-690387.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-602204.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6097-794698.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-935453.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6099-233556.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-737700.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6101-769794.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-693575.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-689512.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-130107.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6105-997973.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6106-447274.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6107-981429.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6108-928584.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6109-119451.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6110-307450.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6111-359984.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6112-672934.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6113-955597.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-400536.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6115-689865.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6116-875104.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-574045.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6118-837551.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6119-798169.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6120-984133.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6121-335858.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6122-394384.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6123-903720.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-635080.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-755985.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-383190.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-933334.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6128-624931.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-143160.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-265417.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6131-321571.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6132-430776.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6133-860602.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6134-467360.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6135-317353.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6136-357777.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6137-583497.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-947880.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6139-905796.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-853886.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6141-832191.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6142-455462.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6143-662299.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6144-907624.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6145-975514.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-891894.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6147-705516.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6148-484029.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6149-441250.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6150-544176.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6151-942064.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-291448.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6153-438605.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6154-628852.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6155-593572.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6156-893697.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6157-487484.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6158-611185.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-313818.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6160-808335.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-716917.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6162-473984.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-983795.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6164-241521.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6165-305793.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6166-708328.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-491872.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6168-720784.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-313689.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-694766.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-699072.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6172-733252.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6173-144940.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6174-508083.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6175-982049.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6176-964161.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6177-210381.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6178-111979.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-431755.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-615344.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6181-384242.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6182-844242.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-480089.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6184-513061.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6185-542892.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-675106.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6187-235840.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6188-932310.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-955035.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6190-618875.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-953717.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-278056.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-985156.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6194-863263.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6195-636522.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6196-659139.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6197-376371.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-915183.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6199-543885.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6200-339243.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-281789.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6202-984506.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6203-127198.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6204-747397.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6205-475701.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-965312.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-894171.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6208-520395.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6209-868755.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6210-300181.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6211-876685.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6212-961071.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-786133.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-871014.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6215-984156.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6216-226153.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-964201.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6218-140172.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-298448.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-138016.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6221-159247.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6222-614538.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6223-214838.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-921245.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-738078.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-389254.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-172981.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6228-909134.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-144124.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-269271.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6231-585861.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-798403.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6233-570147.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6234-824533.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6235-763414.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6236-821760.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6237-400818.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6238-664678.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6239-159045.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6240-772660.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6241-569512.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6242-455031.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-956170.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-436234.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6245-898712.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 6246-384289.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6247-484993.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6248-970674.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6249-843670.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6250-341164.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6251-177681.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-298493.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6253-635804.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6254-696454.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6255-896664.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6256-481504.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6257-550661.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6258-243568.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-420622.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-575531.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6261-549223.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6262-326488.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6263-138061.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-248869.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6265-119411.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6266-289408.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-936343.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6268-987362.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6269-404272.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6270-508717.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-324251.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-352295.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6273-900624.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6274-803856.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-540269.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6276-423748.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-371235.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-296144.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6279-425578.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6280-268442.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-669686.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6282-799384.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-538802.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6284-811712.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6285-835980.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6286-473396.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6287-123889.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6288-436960.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6289-192344.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6290-623638.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6291-306970.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6292-852454.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-716817.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-564590.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-773010.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6296-154378.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-183073.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-727274.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6299-774499.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6300-764534.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6301-111717.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-702063.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6303-639381.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-377723.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-819654.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-499247.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6307-388031.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-474971.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-451447.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6310-758227.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6311-477886.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-864905.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6313-245695.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6314-892298.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6315-503323.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6316-251072.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-983399.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-642231.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6319-887794.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6320-125278.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-506925.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6322-505573.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6323-705037.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6324-176718.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-508141.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6326-996464.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-445652.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-302754.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-438937.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 6330-894497.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6331-670859.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6332-528667.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6333-532512.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6334-505475.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6335-211223.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6336-262049.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6337-230428.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6338-403634.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6339-502641.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6340-444561.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6341-493572.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6342-950176.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6343-982724.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-928647.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6345-183603.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-387575.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6347-206556.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-136691.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6349-177871.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6350-566500.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6351-953893.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6352-914092.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6353-562622.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6354-438441.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-723842.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6356-205683.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6357-655065.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-279136.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-973346.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6360-673720.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6361-249602.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-625527.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6363-884337.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6364-236264.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6365-940667.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-955949.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-872494.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6368-757594.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6369-902095.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-824405.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6371-368890.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6372-255341.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6373-147853.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6374-274978.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-397241.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6376-382072.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6377-133810.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-778408.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6379-366762.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6380-309381.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-755686.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-836399.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6383-566435.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6384-261898.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6385-467241.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6386-753806.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6387-599427.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-575900.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-523050.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-248628.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-598760.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6392-139260.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6393-818870.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6394-206873.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6395-346244.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6396-252145.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-145298.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-568707.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6399-647474.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6400-455574.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-637820.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6402-453980.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-109698.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6404-299522.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6405-950950.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6406-197850.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6407-515872.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6408-284598.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6409-801387.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6410-290571.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-604411.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-221794.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6413-772635.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6414-499553.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6415-996670.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6416-569904.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-536806.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-188723.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6419-410769.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6420-858854.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6421-176119.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6422-230721.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-334534.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6424-243128.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6425-150301.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6426-221011.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-188651.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-726713.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6429-765047.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6430-198366.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6431-581751.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-888286.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-733020.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6434-169641.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6435-534538.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-721182.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6437-886022.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6438-770659.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-194991.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-750479.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-244032.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-350093.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6443-304215.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6444-443739.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 6445-783540.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6446-337174.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-781637.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-609468.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-452662.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6450-900042.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-658230.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-501196.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-710720.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-472431.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-360870.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-269750.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-897042.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6458-292484.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-551762.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-796238.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-434822.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-529156.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-822324.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-625422.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-618129.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-784045.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6467-757907.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-784123.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6469-591529.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6470-533423.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-681040.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6472-560016.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-402228.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-122882.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-578252.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6476-897090.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6477-656558.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6478-484540.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-710072.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6480-290000.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-292987.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-780970.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 6483-640718.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-828242.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-345049.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6486-625693.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-752866.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-389437.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6489-918979.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6490-510130.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6491-644525.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6492-369764.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-440804.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-477248.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6495-170754.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6496-852530.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-946596.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6498-890870.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 6499-268755.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6500-711907.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6501-741813.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6502-546138.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6503-657906.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6504-959948.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6505-564512.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6506-517533.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-881333.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6508-897410.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-114575.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-147000.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-630696.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-223969.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6513-777882.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-390800.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-944824.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6516-971546.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6517-176036.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6518-832533.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 6519-665318.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-702059.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6521-667186.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-494852.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6523-670377.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6524-142445.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6525-563295.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-461819.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-888727.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-130466.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6529-943925.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6530-725482.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6531-264843.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-983918.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-167501.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6534-541106.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-203796.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6536-258849.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6537-743401.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6538-693619.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6539-601388.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-749232.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-557005.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6542-102226.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-453544.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6544-155767.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-906671.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6546-122496.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6547-195992.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6548-975312.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-614021.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6550-709243.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-760079.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6552-818640.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-968814.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6554-291672.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6555-619769.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6556-932291.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-381604.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-317115.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-331909.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-381218.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-944217.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6562-122490.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6563-338043.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6564-672858.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6565-127766.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6566-633329.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6567-409086.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-705942.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6569-282380.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6570-532934.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6571-404370.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-692947.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6573-545963.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6574-569238.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6575-408482.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6576-821217.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-196637.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6578-342669.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6579-448166.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6580-755364.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6581-114654.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-946233.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-746534.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-738353.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6585-664773.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-572454.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-669748.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6588-633575.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6589-711257.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6590-976199.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6591-326578.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-643498.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-842833.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-625216.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-561411.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6596-359855.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6597-921679.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-847446.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6599-722271.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-671799.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-301453.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6602-497915.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6603-504628.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6604-544262.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6605-293153.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6606-211891.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6607-611763.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6608-180721.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6609-995029.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6610-152586.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-462745.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6612-774287.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6613-431442.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-997895.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-855444.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6616-901788.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-395070.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6618-765602.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-225632.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6620-338407.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-278157.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-648260.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-893253.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6624-405064.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-745568.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-371691.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-370019.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6628-157325.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6629-216562.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6630-242127.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6631-834139.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6632-253685.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6633-146495.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-962501.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6635-850014.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-768097.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-467991.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-674778.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-437586.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-385728.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6641-863639.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6642-629214.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-246802.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-752839.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-774601.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6646-535572.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6647-889754.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-576309.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-970603.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6650-245153.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-922791.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-180597.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-341914.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-234872.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-426087.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6656-881493.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6657-958737.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-477334.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6659-271885.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6660-645495.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6661-645522.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6662-140538.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-528924.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-687624.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6665-259010.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6666-898648.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6667-815439.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6668-444787.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6669-938252.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6670-236633.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-703650.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-709621.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6673-715064.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6674-555176.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-355660.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6676-635385.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6677-548264.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-290534.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-836468.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-914789.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6681-993240.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6682-291924.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-761762.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6684-885448.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-976772.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6686-178712.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-770614.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6688-939107.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-127470.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-169130.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6691-411310.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6692-751055.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6693-578605.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6694-946198.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6695-876172.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-696416.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-277799.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6698-444243.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-606602.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6700-468180.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6701-916924.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6702-910862.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-553880.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-615953.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-412225.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6706-753473.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6707-146415.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-287373.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-439203.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6710-940051.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-260945.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-808189.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6713-104060.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-634555.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6715-671036.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6716-693590.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-590580.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6718-965944.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-337156.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-953120.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-371012.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-512177.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-966975.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-186784.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6725-267074.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-197328.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-462873.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6728-370097.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6729-386543.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-701363.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6731-106013.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6732-890363.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-679035.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-211760.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-318831.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6736-188143.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6737-653783.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-345608.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-201752.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-626764.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6741-187151.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-561079.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6743-389924.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6744-924413.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-640859.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-315361.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6747-301170.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-677238.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-156766.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6750-361174.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-416892.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-573484.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6753-178976.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6754-700282.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6755-178223.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-244285.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6757-256269.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-861054.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6759-906704.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6760-988178.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-612514.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6762-760809.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6763-122144.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6764-858666.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6765-107758.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6766-640258.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-791487.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6768-646461.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-629365.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6770-758837.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-931167.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6772-787003.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6773-527181.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-204729.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-773925.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6776-788422.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-449111.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6778-797566.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-706454.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6780-303027.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6781-814899.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6782-812430.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-762310.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6784-680852.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6785-536932.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-297818.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6787-323774.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6788-635821.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-445570.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-437358.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-128532.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-519272.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6793-993790.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-421204.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-577627.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-900903.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-138486.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-847561.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 6799-536138.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6800-265089.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-808665.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-439781.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-913907.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6804-717597.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-317089.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-851393.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6807-308079.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6808-726678.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-924169.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-677255.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6811-760139.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6812-842105.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-988802.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6814-864603.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6815-729493.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-575150.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6817-401508.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6818-225235.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6819-555362.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6820-787163.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6821-728924.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6822-374241.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6823-204948.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-490106.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-266920.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6826-377059.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6827-262899.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-187173.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-718424.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-525904.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-382257.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-672206.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6833-738559.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-932977.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6835-701242.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6836-531156.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-806738.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6838-855510.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-750247.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-740099.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-333759.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6842-421187.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6843-789634.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-519408.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-200390.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6846-494926.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6847-874126.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6848-453083.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-357166.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6850-423378.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-624375.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-491098.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-805525.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-960035.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6855-526303.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6856-153438.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6857-982392.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6858-353348.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-662493.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-449177.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-252128.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-574656.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-787407.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-396705.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-760349.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-301519.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-712271.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-814704.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6869-914401.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 6870-964177.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6871-160479.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-268249.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6873-272222.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-663298.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6875-109802.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-916784.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-829718.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6878-126913.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-576755.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-969502.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-881764.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-164538.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6883-917774.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6884-370251.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6885-794106.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6886-762740.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-929794.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6888-479621.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6889-869717.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-256324.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-285939.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-896156.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-609625.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-936097.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6895-958864.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6896-500877.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-783819.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-419958.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-533024.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-502622.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6901-776954.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-216097.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-432841.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-841860.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6905-823261.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-811967.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-553514.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6908-296904.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6909-678496.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-806505.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-302176.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6912-367717.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-507691.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-111463.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-347661.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6916-765811.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-609086.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6918-721025.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-454795.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-854050.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6921-282759.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-315180.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-387938.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6924-930754.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-927987.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-459576.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-944540.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-323390.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-336013.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-314905.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6931-781038.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-480704.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6933-930100.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-132902.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-515568.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-825691.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-589296.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-585255.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-130498.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6940-137698.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6941-173989.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-803090.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-563752.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6944-455354.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-323736.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-299664.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-503917.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-474691.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-625435.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-872095.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-192043.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-907662.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-898483.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6954-771244.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 6955-701846.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6956-846223.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6957-533550.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-620054.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-106205.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6960-101398.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-233483.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-905912.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-631217.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-156346.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-518976.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-122735.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-115403.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-716352.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-272287.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6970-505628.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6971-616612.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-699510.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-421667.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6974-279307.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6975-262923.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6976-874687.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-204121.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-454438.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-139802.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6980-183507.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6981-228396.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-591533.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6983-660109.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-421553.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-671893.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6986-721435.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6987-858691.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6988-987948.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6989-953152.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6990-472462.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-429862.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+6992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6992-930252.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+6993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-950376.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-351670.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6995-897426.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+6996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 6996-360974.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6997-846989.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+6998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6998-182005.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+6999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6999-360490.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7000-887328.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-194593.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-708340.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7003-699822.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7004-775960.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7005-603074.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-434038.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7007-837272.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-655880.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-842256.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7010-121548.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7011-926947.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-533074.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7013-978005.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7014-187519.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-565385.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7016-226976.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-703588.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7018-894404.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7019-943160.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7020-472978.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7021-133006.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7022-152890.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7023-220488.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-357324.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-723368.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-599181.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-518404.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7028-829486.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7029-576712.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-415737.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-378182.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7032-371018.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-779244.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-486454.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-136065.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7036-305624.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-287590.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-742592.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-840730.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-498803.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-353923.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-189480.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-248493.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-853650.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-190525.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-508580.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-375522.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7048-909810.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7049-650672.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-238119.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7051-550823.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7052-809493.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-594834.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7054-789104.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-244459.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-672902.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-148644.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-961043.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-810810.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-877928.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-892566.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-320026.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-983685.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7064-234216.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-901243.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-372447.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-169113.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-999811.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7069-213686.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-363434.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-840004.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-439751.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-578567.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-216132.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7075-993068.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7076-178936.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-506673.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-212331.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-825505.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-781070.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7081-899357.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7082-786312.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7083-755474.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7084-426677.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-507292.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-838546.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7087-814056.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7088-835415.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 7089-268092.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7090-253556.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-198419.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-801952.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7093-523840.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-744109.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-135936.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7096-399620.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-335542.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-421618.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7099-885612.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-187159.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-111305.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-176434.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-771015.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-569804.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-618307.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-765708.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-195587.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7108-925801.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7109-255456.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7110-211714.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-890713.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7112-169101.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-605195.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7114-794321.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7115-868280.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-377382.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7117-271787.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7118-280682.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7119-209448.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-547201.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7121-132373.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7122-363335.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7123-141652.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7124-502418.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-762065.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7126-504243.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-316029.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-508017.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-777527.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7130-735426.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7131-222165.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-376292.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7133-784631.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-971515.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7135-605744.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-498906.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-692969.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7138-633395.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-279860.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-231101.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7141-695685.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7142-466647.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7143-914047.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-515762.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-452835.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7146-590487.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-455961.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7148-111328.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7149-392103.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7150-651711.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7151-165242.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7152-459389.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7153-803807.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-793491.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7155-384823.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7156-888007.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7157-467561.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7158-298279.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7159-955569.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7160-848999.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7161-594426.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-857517.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7163-197486.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7164-962216.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7165-255541.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7166-716611.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7167-251646.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7168-339959.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7169-648236.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7170-379193.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7171-876226.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7172-217818.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-103246.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7174-242759.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7175-747276.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-480386.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7177-722673.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7178-212714.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7179-264869.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-639114.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7181-220749.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7182-983535.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-232236.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-375163.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-884993.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-931180.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7187-616113.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7188-862925.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-643309.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7190-824234.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-219438.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-960390.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-515694.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-319600.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7195-935244.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7196-613147.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7197-123280.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-988977.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7199-565057.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7200-296663.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-310534.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7202-918116.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-371350.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-770713.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7205-792412.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-725925.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7207-181453.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7208-445472.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-909121.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7210-968277.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7211-336615.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-617986.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7213-721519.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7214-394531.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7215-746422.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7216-340624.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7217-430242.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7218-310487.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7219-652869.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7220-846901.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7221-126128.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7222-378993.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-397068.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-217350.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-616166.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7226-830846.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7227-925826.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7228-494580.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7229-642488.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7230-215471.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7231-944152.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7232-143864.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7233-524538.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7234-714288.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7235-249149.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7236-222633.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7237-835493.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7238-367681.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7239-370472.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-921792.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-742408.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7242-693503.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-223927.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-776117.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7245-566601.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-152784.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7247-251582.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7248-936394.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7249-323393.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7250-516878.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7251-285483.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-313438.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-362572.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7254-465327.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-649838.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-670889.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-682392.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7258-598251.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-732946.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-549691.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-214321.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-776283.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-275751.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-237954.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-533835.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-874858.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-107116.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-876200.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7269-185387.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-192370.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-932345.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-230464.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7273-261277.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-253704.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-489078.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7276-299305.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7277-924109.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7278-544845.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-332096.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7280-205943.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7281-917831.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7282-231867.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7283-731793.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-120266.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7285-764374.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-888837.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7287-733047.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-883280.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-969169.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7290-994831.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7291-864229.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-323278.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-160243.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7294-715212.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7295-742614.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7296-970014.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7297-662401.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7298-523703.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-142084.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-228485.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-175739.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-205524.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7303-489469.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7304-181708.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-356416.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7306-328379.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-899589.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-199224.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7309-508810.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-562246.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-510694.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-803867.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-526942.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7314-161615.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-840594.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-966788.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-906412.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7318-311829.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7319-866740.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7320-781720.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-773390.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-477648.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7323-970502.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-952550.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-911828.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-966693.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7327-515905.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-721201.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-125660.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-310254.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-646103.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7332-501970.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-472376.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-550229.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-502090.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7336-482833.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-617952.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7338-739294.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7339-575477.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7340-175135.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-582955.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-910808.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7343-554524.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7344-627554.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-484422.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7346-878155.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-211444.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7348-781076.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7349-240283.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7350-233219.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-400614.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-477628.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-142096.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-678549.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7355-889292.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7356-982812.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-420371.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-194394.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7359-206614.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-480370.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7361-850169.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7362-715531.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7363-836434.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7364-738737.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-995703.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7366-845020.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7367-591927.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7368-701498.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7369-710737.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7370-616105.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7371-450950.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7372-504239.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7373-863159.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-910265.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7375-955566.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7376-434009.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7377-940789.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-172117.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-801708.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7380-387452.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7381-985839.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7382-609165.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-843417.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-946450.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7385-173922.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-724452.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7387-790274.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7388-368791.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7389-609758.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7390-474793.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7391-139587.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-499465.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-934718.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7394-164297.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-769831.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7396-684403.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-915308.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7398-171292.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7399-493372.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7400-649845.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7401-388589.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-460895.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-596330.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7404-443845.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-847016.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7406-818269.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7407-984963.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-294536.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7409-656509.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7410-131547.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-715407.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-666124.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-301281.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7414-757582.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7415-498670.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7416-702109.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7417-239694.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7418-803302.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-126136.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-858033.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7421-861723.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-371918.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7423-866242.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7424-232734.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7425-344518.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-759516.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7427-402063.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7428-646284.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7429-766565.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7430-102540.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-474172.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-668834.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7433-789269.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-285372.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-518556.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-108491.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-989794.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7438-407189.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7439-388270.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7440-834809.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7441-861335.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-607162.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7443-167031.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-101622.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-602938.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7446-370104.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-159492.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-516942.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-202432.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7450-293428.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-321937.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-303900.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-338449.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-287141.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7455-747245.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7456-723487.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7457-770060.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7458-740082.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-522805.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7460-814866.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-898958.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-646817.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-688353.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7464-221463.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7465-597327.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7466-722507.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7467-831017.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7468-467031.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7469-211007.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7470-539776.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7471-645584.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7472-739968.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-197393.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-945943.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7475-192242.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-535280.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-191504.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-429553.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-973111.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7480-342326.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-262758.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7482-136532.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7483-576143.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7484-684647.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7485-386302.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7486-178421.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-904233.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7488-779943.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7489-161271.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7490-863857.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-997185.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7492-215903.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-644413.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7494-939376.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-339113.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7496-457184.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7497-437945.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-330458.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7499-221184.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7500-240839.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-141123.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7502-269921.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7503-306482.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7504-588187.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7505-536416.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-371719.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-642299.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-480476.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-831146.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7510-148341.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7511-749864.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7512-865725.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-300234.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7514-456512.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-753465.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-738465.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-451834.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7518-518465.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-536902.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-637962.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7521-929898.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-783374.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7523-750198.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7524-620551.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-930741.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7526-763638.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-489357.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7528-758652.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-804088.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7530-499808.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-329258.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-945379.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-481043.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-212641.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7535-496723.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7536-947867.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-984569.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7538-480495.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7539-892609.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7540-744060.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7541-977898.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-281277.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7543-129443.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7544-639940.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7545-863322.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7546-707511.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7547-618613.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7548-291729.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7549-790670.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-723637.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7551-941506.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7552-914844.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7553-426618.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7554-114872.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7555-381521.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7556-554707.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7557-387005.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7558-382919.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7559-405339.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7560-556234.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-475304.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-636465.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-273808.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-618845.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7565-610448.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-101730.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7567-473028.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7568-498855.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7569-108311.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-351453.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-295013.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7572-226103.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7573-556499.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-574090.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7575-103455.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-496862.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-775895.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7578-977876.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7579-131906.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7580-329013.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7581-758636.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7582-791744.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-105354.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7584-342097.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-834681.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7586-367574.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7587-281230.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7588-132633.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-347307.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-815591.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-210368.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7592-690748.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-204451.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7594-441473.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7595-709638.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7596-736423.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7597-774985.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7598-634661.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-768381.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7600-783167.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-824732.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7602-518673.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7603-985041.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-656300.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-999639.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7606-214240.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7607-293115.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7608-560775.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7609-395914.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7610-429094.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7611-250129.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-672557.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-448540.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7614-190744.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7615-456508.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-583635.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7617-742578.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-238364.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7619-376323.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-607575.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7621-358903.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-790494.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-495101.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7624-832123.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7625-555239.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7626-368811.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-330881.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-912671.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7629-448011.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7630-263376.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-894574.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7632-960077.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-798633.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7634-590935.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-174804.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7636-881510.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7637-816212.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7638-949253.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-205999.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-210162.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7641-507989.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7642-970133.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7643-605303.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-119453.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-186732.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-838230.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-355850.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7648-485986.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7649-282026.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7650-902734.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-687543.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7652-100002.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7653-807854.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7654-554530.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-532286.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7656-967712.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-788730.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7658-599051.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7659-889061.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7660-763356.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7661-871041.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7662-775550.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7663-836817.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7664-742923.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-547888.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-748437.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-972929.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7668-791926.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-924867.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7670-921747.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-792729.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-853107.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-875214.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-246945.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7675-224508.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-238422.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7677-835044.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-833998.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7679-543250.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-697904.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7681-634403.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7682-994903.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7683-627098.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7684-570079.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7685-414203.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7686-895956.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7687-405912.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7688-453177.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7689-227783.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7690-617219.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7691-447115.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7692-727836.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7693-381414.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7694-285135.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-218285.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-898094.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-657784.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-452545.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7699-410453.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7700-618733.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-800552.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7702-976837.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-565169.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-539462.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7705-857022.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7706-472649.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7707-499657.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7708-405704.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-746882.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7710-195595.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7711-501451.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7712-946092.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-567803.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-393400.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-870909.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-477423.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7717-314409.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-987622.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7719-478294.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-764381.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-175133.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-598576.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-241266.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-892624.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7725-661404.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7726-865671.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7727-233709.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7728-542364.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7729-170412.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-370903.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7731-742485.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7732-139440.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-306090.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-799692.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-516625.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-282529.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7737-860248.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7738-973426.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-231001.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7740-243835.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-357708.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-204742.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-914875.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7744-321604.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7745-545523.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-649348.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-244728.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7748-792171.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7749-462383.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7750-126956.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7751-539162.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-583632.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7753-505378.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7754-423281.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-361417.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-214178.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-322746.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7758-110631.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7759-464124.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7760-838133.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-706652.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7762-247693.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7763-445434.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7764-604838.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7765-109102.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7766-943914.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-236108.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-782167.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-482313.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-815511.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7771-844450.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-778555.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-702659.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-632383.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-772653.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7776-530255.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-706030.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7778-843457.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-868481.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7780-454996.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-970087.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-445825.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7783-594061.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7784-222395.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7785-864686.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7786-978467.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7787-646992.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7788-193874.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-228615.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-398287.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7791-225399.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7792-481429.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-993840.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-157301.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7795-762995.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7796-804267.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-260674.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7798-209824.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7799-669627.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7800-338707.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-231270.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7802-124831.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7803-103499.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-757751.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7805-856415.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-416687.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-169949.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-580058.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-340756.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7810-375768.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-320403.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-271731.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7813-142742.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-148720.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-684369.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7816-562308.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-163211.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7818-395362.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7819-547505.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7820-810745.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7821-418171.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7822-782156.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7823-415757.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-396261.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7825-881664.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7826-979380.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7827-847028.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-456419.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-608199.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-216994.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7831-188262.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7832-408515.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-574416.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-292360.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7835-391246.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-651535.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-383678.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-549496.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7839-626237.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7840-602277.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-572181.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-714388.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7843-242252.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-699413.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7845-506544.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-293129.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-974694.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-304348.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7849-577275.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7850-102509.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7851-947598.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7852-237125.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7853-967438.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7854-684187.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-100539.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7856-768133.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7857-651761.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7858-584809.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7859-915142.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7860-408002.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7861-230422.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-335641.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-219832.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7864-418728.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7865-557532.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-178034.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7867-640776.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 7868-822108.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7869-687297.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7870-537497.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7871-722988.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7872-299373.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7873-762968.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7874-446655.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7875-631763.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7876-712158.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7877-979724.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7878-579195.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-221505.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7880-940594.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7881-874923.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7882-987367.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7883-657508.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7884-392616.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-506460.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7886-880219.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-323733.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-326936.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7889-944515.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7890-364537.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7891-318576.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7892-161524.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7893-243664.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7894-319373.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-542094.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-760098.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-750894.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-837227.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-954849.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7900-339366.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7901-531267.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-469095.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7903-414684.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7904-545547.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-226419.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-476327.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7907-399909.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7908-695771.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7909-545054.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7910-228346.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-744974.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7912-720505.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-307392.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-892321.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7915-704313.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7916-219108.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7917-767119.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7918-653753.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7919-590243.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-646306.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-932154.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7922-157459.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7923-609067.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-930529.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7925-854423.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-573473.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-681604.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-426069.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-866729.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-247305.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-159676.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7932-739164.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 7933-671558.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7934-949855.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-369471.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7936-405757.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7937-993852.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-459909.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7939-395150.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7940-511527.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-833098.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-703402.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7943-678419.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7944-744037.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7945-751207.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7946-587430.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7947-460811.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7948-864832.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7949-843227.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7950-684247.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7951-205993.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7952-752296.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7953-463378.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-355267.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-872122.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7956-901226.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-617385.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7958-812419.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-251411.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-125448.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7961-556545.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7962-745213.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7963-957554.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-891453.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7965-434846.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-918863.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-291669.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-951789.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7969-823594.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7970-322035.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7971-628493.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-407042.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7973-700586.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7974-161870.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-519298.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7976-615404.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7977-383037.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7978-994283.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7979-170029.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-516140.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-296422.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7982-439655.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7983-199292.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 7984-384768.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7985-831541.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+7986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7986-403348.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-638356.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-964130.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7989-803455.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-306830.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-952660.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 7992-329661.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7993-290911.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-895521.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 7995-907092.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+7996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7996-486725.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+7997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7997-240032.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+7998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7998-489927.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+7999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7999-850871.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-889341.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8001-178990.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8002-633556.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8003-716088.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-513268.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-579683.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8006-732442.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8007-294785.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8008-600147.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8009-702227.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8010-720416.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8011-574435.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8012-373027.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-748178.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8014-325759.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8015-911794.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-668892.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8017-629540.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-928157.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-259906.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8020-668562.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-995057.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8022-975886.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8023-983939.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8024-535450.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8025-478691.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8026-404929.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8027-496270.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8028-684244.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8029-345779.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 8030-639887.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8031-486574.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8032-177115.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-984650.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8034-768570.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8035-561478.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8036-114203.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8037-668100.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-300917.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8039-277398.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-872750.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-800156.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8042-304043.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8043-988946.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-219461.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-997804.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-299418.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8047-733285.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8048-527308.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-864247.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8050-688514.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-497375.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8052-780343.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-932760.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-192359.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8055-320701.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-937914.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-344653.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-829436.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8059-712144.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-228530.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8061-250776.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8062-197691.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-463463.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-786203.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8065-188482.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8066-928826.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-914650.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-405112.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8069-531033.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-148519.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8071-825709.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-408910.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-160748.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-632690.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8075-180654.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-641578.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-652420.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-753947.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8079-917250.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8080-640220.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8081-934053.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8082-646283.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8083-573138.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-264490.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8085-485778.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8086-604356.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8087-220601.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8088-320701.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8089-362231.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-784548.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-320815.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8092-268999.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8093-573736.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8094-781703.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8095-628832.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8096-159700.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-397380.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8098-112854.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-220394.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-328314.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-565540.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8102-864178.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-813232.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-387171.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-147128.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8106-753309.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-996279.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-636004.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-561534.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-834605.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-373036.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-916589.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-779961.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-914533.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-172877.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-960816.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-988306.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-523791.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-719813.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-889207.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8121-251479.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-939737.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8123-531805.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-988595.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8125-431186.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8126-354605.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-381788.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8128-569232.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-166014.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-435488.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8131-231055.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-339356.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-707653.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8134-110387.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8135-442456.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8136-189405.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8137-694965.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8138-588547.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-455762.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-716571.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-530937.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-624829.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-273114.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-245027.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-585296.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-680338.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-435969.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-227728.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-313324.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8150-639808.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-782320.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8152-107901.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-745609.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-351392.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8155-304087.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8156-431679.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-498456.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8158-287139.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8159-234234.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-700028.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8161-685401.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8162-750222.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-265065.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8164-579879.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8165-220909.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8166-510967.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-917144.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-957256.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-649659.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8170-984390.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-234005.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-606372.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8173-599454.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-309911.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-276485.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-617909.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-744690.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-859741.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-907987.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-986194.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-568872.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8182-826169.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8183-303953.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-582714.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8185-807151.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8186-419603.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-171403.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8188-556059.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-228639.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-591552.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8191-132506.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-268444.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8193-902383.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-254334.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8195-545244.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8196-144943.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8197-161431.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-676499.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-902609.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8200-712408.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-988291.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-833514.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-881132.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8204-800688.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8205-883523.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-441437.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8207-673444.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8208-398385.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-732278.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-347818.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-921328.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-980196.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-641030.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8214-277026.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-137693.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-177129.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8217-626905.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8218-382577.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-575126.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8220-193147.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8221-526073.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8222-392719.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-335167.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-306289.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-938035.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-450956.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8227-259508.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-825113.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-568394.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8230-552915.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-593378.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-830485.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-658838.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-725978.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-102569.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-664872.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8237-716041.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8238-796764.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-551881.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8240-823479.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8241-875097.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8242-979125.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8243-873792.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-981409.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8245-727703.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-750231.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8247-193138.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-810972.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-389475.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-457357.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-298296.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-649739.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-892776.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8254-957784.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-914802.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8256-773625.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-355783.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8258-371575.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8259-402425.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8260-535779.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8261-268053.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-701409.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8263-173447.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8264-172673.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8265-839252.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8266-436709.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8267-209066.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8268-810752.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-381598.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-450041.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-678661.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-653610.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-523955.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-693939.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8275-902137.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-992520.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8277-393708.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8278-312247.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8279-448569.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-399746.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8281-862413.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-470769.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-741273.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-904722.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8285-824952.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8286-321071.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-119083.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-841080.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8289-429495.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8290-112455.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8291-841352.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8292-339144.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8293-790832.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8294-193566.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8295-760156.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8296-943077.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8297-223730.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-260616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-948982.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-962252.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-505024.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-925814.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8303-570834.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8304-181679.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-936565.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-373509.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-546628.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-368480.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-879665.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-504570.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-641344.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8312-440700.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8313-471298.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-866334.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8315-913989.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-577175.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8317-842491.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-995468.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-570737.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8320-843148.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8321-439253.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8322-503211.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8323-254876.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8324-383561.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-846859.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8326-421744.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-571109.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-228616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-521271.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-274464.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-771785.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-810920.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-259857.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-276999.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8335-934947.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-844703.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-274114.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-470638.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-739957.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8340-651304.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8341-702754.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-898879.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-536454.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-594028.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8345-822625.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-872824.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8347-447023.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-814676.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-446387.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-563032.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-897065.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8352-960691.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-990156.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-400962.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8355-472015.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8356-141087.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8357-306856.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8358-424131.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-744960.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-160807.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-243933.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8362-990966.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-488887.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-711601.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8365-929103.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8366-545890.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-159531.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-603219.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8369-450921.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8370-447720.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-650737.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-303283.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-393437.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-626567.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-172905.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8376-705821.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8377-214034.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8378-235053.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-423099.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-224273.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-387389.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8382-390074.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8383-671634.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8384-139806.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8385-491362.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8386-917045.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-840907.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-514830.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8389-189968.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8390-255602.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-828791.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-302088.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-210506.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-633074.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8395-275735.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-421373.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-169333.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-175604.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8399-941305.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-643394.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-553221.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8402-880120.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8403-638336.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8404-344621.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-974052.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-526958.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-904752.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-964389.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8409-635651.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8410-761826.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-946360.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-406761.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8413-313281.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-608761.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8415-471692.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-670180.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8417-107816.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8418-739962.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8419-108875.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-843136.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8421-280569.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8422-829774.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-718325.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-804529.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8425-839752.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8426-643730.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-108283.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8428-306890.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8429-594305.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8430-158074.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-646979.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8432-539973.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8433-367619.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8434-646442.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8435-265833.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8436-394251.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-571468.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-210633.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8439-673274.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-622529.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-660357.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-587361.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8443-780574.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-430599.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-178505.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8446-495921.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8447-154975.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-863407.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-936096.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-567201.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8451-555546.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-387439.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-992216.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-439374.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8455-983019.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8456-931671.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-765521.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8458-429218.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-333357.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8460-526800.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8461-558549.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-700149.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-515915.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8464-840734.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-726176.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8466-687841.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8467-888071.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-425583.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-342721.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-202976.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-917615.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8472-389704.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8473-111787.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-630207.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-856378.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-197412.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-961390.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8478-706726.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8479-126071.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-476451.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8481-502420.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-160806.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8483-889275.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8484-228290.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-900028.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8486-326694.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-344040.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-197726.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-263349.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8490-156508.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8491-603867.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8492-964025.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8493-264639.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8494-978876.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-656814.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8496-900311.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8497-496704.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8498-496364.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-366647.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8500-125929.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8501-620636.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8502-629776.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-169954.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8504-638873.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8505-928119.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-365744.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8507-367603.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-426411.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8509-612175.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8510-544344.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8511-219842.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-874932.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-467896.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-294416.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8515-799413.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8516-826983.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-558110.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-165858.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-356404.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-118712.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-962530.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8522-199863.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8523-397172.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-534303.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8525-712843.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-215128.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8527-417036.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-579378.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-966623.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8530-225904.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8531-420894.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8532-829894.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-988454.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-339809.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-156900.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8536-798523.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-540544.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8538-248018.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-929172.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-625006.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-444429.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-653694.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8543-271785.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-137275.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-675335.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8546-721938.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-636550.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-326316.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8549-753197.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-499815.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8551-368158.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8552-121539.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8553-711384.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-836224.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8555-879983.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8556-383174.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-245284.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8558-215682.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8559-609261.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-887039.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-448458.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8562-848389.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8563-737188.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-728270.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-807890.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-811276.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-761087.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8568-900797.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-348920.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-684748.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8571-710611.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8572-559262.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-702729.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-210590.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8575-233524.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8576-133253.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-177213.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-305863.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-486226.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-444706.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8581-516122.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8582-411008.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8583-542679.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8584-384874.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8585-962390.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8586-442438.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-525610.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8588-123499.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8589-796231.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8590-704566.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-775208.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8592-522265.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-430904.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-907710.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-302309.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-705276.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8597-110762.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-426307.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8599-134306.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-147031.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-321422.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8602-296071.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8603-844452.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8604-803867.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-965181.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-545572.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-466775.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8608-264050.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-386561.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-822303.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8611-171157.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-156478.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8613-162421.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8614-660265.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-763529.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-353825.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8617-127126.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-246665.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8619-821095.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-511588.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8621-607470.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8622-173760.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-598611.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8624-726340.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8625-671628.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-474414.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-861127.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8628-834175.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8629-129145.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8630-829952.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8631-702888.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8632-531509.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-633791.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8634-413649.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8635-613483.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8636-372347.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-214534.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8638-258047.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-841607.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-544492.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-865654.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-881449.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8643-165056.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8644-708306.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-281022.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-940646.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-419324.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8648-809004.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-168175.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-469818.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-252353.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8652-949390.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-404391.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8654-394758.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-208318.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-822878.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-541107.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-425015.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8659-765324.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-334598.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-889977.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-480744.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8663-904147.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8664-385477.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-366001.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-947817.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8667-775374.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-399956.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-389968.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8670-362670.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-204877.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8672-528115.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-302426.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-645818.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-721351.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-463990.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8677-111466.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-703919.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-441368.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8680-362790.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8681-175847.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8682-355721.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-325906.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8684-316692.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8685-388560.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8686-190029.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8687-504562.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8688-448283.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8689-533528.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-492616.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8691-500092.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8692-859521.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8693-963245.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8694-961302.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8695-193417.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-219677.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-526626.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-391822.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-843168.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8700-414468.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8701-692068.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 8702-565762.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-927088.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-329718.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8705-676800.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-944084.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8707-698080.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8708-376293.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-153135.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-824511.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8711-729231.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8712-772972.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-419679.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8714-377699.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-994295.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8716-335493.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-413191.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-261126.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-697229.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-904842.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8721-206963.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-432254.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-114420.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-131284.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8725-346691.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8726-423070.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8727-147149.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8728-883975.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-778106.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-103513.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8731-415785.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8732-740126.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-275367.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-331582.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-390721.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-142302.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8737-462996.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-392214.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8739-642213.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-231289.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-389186.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-345560.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-390531.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-603984.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-697603.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-512735.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8747-693008.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8748-591497.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-586613.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8750-411879.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-116128.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8752-417466.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8753-440675.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-394960.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8755-499022.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8756-561691.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-854791.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8758-165544.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8759-442742.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-806267.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-729321.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-111406.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8763-169607.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-785985.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-150658.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-274275.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-244974.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8768-251158.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-235240.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-697087.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8771-972842.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-396695.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-212027.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8774-551120.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8775-728063.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8776-926067.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-176662.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8778-732089.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8779-998056.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8780-797369.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-208006.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8782-319214.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-219281.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-605196.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-332821.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8786-493778.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-556451.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8788-120148.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8789-109358.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-826760.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-960528.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-772863.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-154843.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-943982.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8795-843081.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8796-686594.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-890814.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-767117.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-823698.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8800-518896.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-750170.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-717904.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-923319.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8804-836017.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-695675.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8806-256843.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-977779.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-844962.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8809-517323.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8810-791547.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8811-737611.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 8812-572149.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-303220.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8814-631123.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-851287.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8816-184083.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8817-147729.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8818-839419.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-747464.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-612290.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-702380.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8822-264548.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-647599.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-632622.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-240018.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-608557.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8827-618757.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-893637.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-628652.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8830-491917.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8831-593576.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8832-419218.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-800778.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8834-272536.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-861733.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8836-392634.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-384976.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8838-986753.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-738159.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-398147.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-330680.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8842-169672.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-330072.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-863095.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-197345.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-934783.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8847-285396.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-446264.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8849-204886.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-556326.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-110346.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-607480.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-638834.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-625648.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-667893.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-511664.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-461254.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-297263.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-525620.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-845737.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8861-875135.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-937006.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-326100.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-934644.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-783010.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-511239.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-917776.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-469664.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8869-554580.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8870-368521.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8871-727792.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8872-938936.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-988192.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-673858.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-904150.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8876-436958.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-342289.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8878-631753.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-295963.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8880-908675.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-793647.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-360535.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8883-770624.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-243200.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8885-633509.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-969283.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-505066.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8888-251523.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-750754.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-290945.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8891-259251.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 8892-641154.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-354854.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-816830.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8895-979542.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-139909.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-605756.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-157160.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8899-579516.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-732579.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-152008.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8902-628913.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-513901.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8904-907105.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8905-167186.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-114594.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-294290.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8908-899367.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-893281.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8910-358227.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8911-357380.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 8912-890173.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-302524.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-707569.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-128070.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-945179.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-325491.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-680268.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-883671.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8920-530896.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-948407.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-253781.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-955616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-430243.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8925-315409.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8926-645543.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8927-538485.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-207944.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-950661.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8930-933982.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-487446.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8932-560417.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8933-868246.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-538234.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-568181.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-229744.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-721042.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-850213.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-608261.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-207678.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8941-643618.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-465353.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-182708.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-433525.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-834565.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-749761.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-934143.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-289900.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8949-263136.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-147950.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-464437.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-118453.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-752019.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-451389.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-592396.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8956-666816.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8957-706338.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8958-293150.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-513554.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-144785.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-112537.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8962-704076.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-759322.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8964-586754.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-367570.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-360032.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-719821.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8968-560505.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-228318.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-770280.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-434819.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-572494.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8973-511672.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-797581.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 8975-474383.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8976-659532.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8977-411603.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-960192.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-646379.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-518853.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-110509.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8982-770810.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8983-678041.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-420561.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-857453.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8986-623388.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8987-145154.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+8988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8988-395772.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-395195.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-685568.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-617636.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+8992,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8992-608029.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8993,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8993-131736.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8994,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8994-893648.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8995,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8995-247154.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8996,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-911662.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+8997,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-841966.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+8998,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8998-694192.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+8999,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 8999-960898.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9000,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9000-884326.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9001,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9001-993213.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9002,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9002-221533.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9003,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9003-993494.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9004,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-859392.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9005,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9005-394843.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9006,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9006-816693.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9007,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-459765.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9008,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-642649.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9009,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-767493.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9010,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9010-707876.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9011,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-684360.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9012,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9012-242307.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9013,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9013-975936.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9014,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9014-564057.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9015,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9015-554468.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9016,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9016-716807.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9017,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-955473.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9018,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9018-384034.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9019,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9019-815840.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9020,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-556230.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9021,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9021-894845.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9022,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9022-595691.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9023,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9023-810926.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9024,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-505606.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9025,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-828351.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9026,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9026-855954.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9027,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9027-233154.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9028,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9028-135831.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9029,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-638435.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9030,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9030-470795.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9031,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-572853.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9032,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9032-793627.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9033,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9033-614491.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9034,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-690426.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9035,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9035-759465.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9036,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9036-399012.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9037,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-816278.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9038,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-983273.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9039,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9039-514963.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9040,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9040-554426.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9041,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9041-155583.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9042,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9042-249497.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9043,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9043-887172.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9044,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9044-947033.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9045,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-753500.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9046,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9046-820602.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9047,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-531188.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9048,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9048-304381.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9049,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-377195.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9050,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9050-884688.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9051,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-214792.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9052,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9052-966234.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9053,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-998908.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9054,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9054-303719.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9055,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-337525.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9056,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9056-161331.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9057,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-532099.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9058,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9058-383656.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9059,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9059-879340.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9060,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9060-724007.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9061,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-615513.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9062,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-858035.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9063,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-806481.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9064,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9064-642207.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9065,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9065-138626.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9066,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-552392.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9067,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-493915.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9068,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9068-717637.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9069,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9069-827738.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9070,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9070-948280.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9071,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9071-999849.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9072,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9072-797945.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9073,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9073-820552.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9074,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9074-124079.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9075,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9075-841002.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9076,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-455955.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9077,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-198792.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9078,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-992860.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9079,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-918515.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9080,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9080-961151.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9081,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-721909.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9082,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-505547.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9083,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9083-483093.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9084,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-204747.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9085,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-328939.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9086,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-167097.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9087,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9087-740274.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9088,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-569607.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9089,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9089-751767.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9090,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9090-895534.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9091,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-447713.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9092,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-889787.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9093,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-196600.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9094,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9094-826793.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9095,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9095-213357.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9096,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9096-112312.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9097,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9097-150401.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9098,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9098-882352.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9099,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9099-223148.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9100,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-606468.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9101,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-582616.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9102,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9102-938846.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9103,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-798560.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9104,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9104-283715.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9105,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9105-555130.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9106,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-238194.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9107,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9107-279736.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9108,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-974708.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9109,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-300377.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9110,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9110-637029.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9111,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-334356.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9112,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9112-627305.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9113,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9113-294806.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9114,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-977547.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9115,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9115-306557.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9116,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9116-809198.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9117,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9117-678614.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9118,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9118-155654.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9119,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-337217.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9120,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9120-525186.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9121,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9121-375157.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9122,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-130867.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9123,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-208726.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9124,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9124-666120.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9125,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-333513.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9126,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-983760.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9127,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-980779.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9128,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-470420.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9129,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-910831.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9130,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9130-377036.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9131,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9131-639364.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9132,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9132-769535.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9133,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9133-241727.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9134,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9134-391223.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9135,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-617296.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9136,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-624734.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9137,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9137-264303.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9138,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9138-160179.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9139,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9139-930445.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9140,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-268247.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9141,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-424314.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9142,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-396762.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9143,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-242983.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9144,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9144-645272.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9145,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9145-499847.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9146,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-580164.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9147,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-397907.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9148,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9148-166800.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9149,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9149-453823.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9150,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-430518.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9151,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9151-527203.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9152,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9152-258772.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9153,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9153-101470.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9154,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9154-256510.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9155,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-299765.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9156,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9156-295997.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9157,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9157-384415.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9158,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-176272.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9159,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-625604.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9160,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-902013.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9161,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-850286.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9162,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9162-944960.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9163,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-806542.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9164,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9164-650461.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9165,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-140128.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9166,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9166-303769.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9167,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-105869.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9168,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-273731.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9169,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-543288.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9170,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-322222.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9171,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-306835.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9172,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-172155.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9173,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-993228.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9174,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-493581.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9175,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-225824.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9176,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-314499.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9177,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-760740.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9178,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-844717.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9179,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-910479.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9180,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-186775.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9181,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-721995.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9182,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-354818.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9183,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-619622.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9184,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9184-448843.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9185,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9185-421605.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9186,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9186-417827.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9187,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9187-553978.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9188,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-796005.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9189,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9189-860119.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9190,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9190-548635.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9191,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-354214.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9192,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-480199.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9193,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-888962.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9194,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-423020.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9195,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9195-579490.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9196,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-549710.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9197,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-951409.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9198,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9198-539429.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9199,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-543033.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9200,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-686002.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9201,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-370502.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9202,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-703147.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9203,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-717627.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9204,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-606655.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9205,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9205-748814.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9206,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-949298.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9207,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-816865.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9208,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-725591.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9209,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-119740.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9210,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9210-388758.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9211,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9211-733242.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9212,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9212-209991.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9213,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9213-837290.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9214,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-622045.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9215,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-478061.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9216,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9216-448342.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9217,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9217-874085.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9218,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9218-572269.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9219,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-629591.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9220,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9220-792382.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9221,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 9221-841962.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9222,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9222-297336.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9223,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9223-434697.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9224,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9224-837132.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9225,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9225-992082.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9226,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-189037.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9227,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-326776.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9228,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-101054.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9229,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9229-440452.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9230,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-518312.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9231,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9231-910366.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9232,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-563598.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9233,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9233-463567.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9234,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-420358.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9235,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9235-841892.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9236,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9236-829685.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9237,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9237-856955.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9238,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-123013.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9239,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9239-898185.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9240,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9240-831053.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9241,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9241-289417.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9242,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9242-746150.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9243,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9243-176300.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9244,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-824023.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9245,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-989646.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9246,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9246-253633.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9247,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-329004.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9248,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-122655.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9249,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-384207.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9250,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9250-482880.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9251,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9251-328231.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9252,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-261761.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9253,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9253-610126.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9254,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-659067.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9255,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9255-289734.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9256,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-664860.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9257,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-233032.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9258,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9258-505461.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9259,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9259-910054.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9260,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-700012.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9261,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-411025.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9262,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9262-266123.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9263,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9263-413010.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9264,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9264-751479.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9265,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9265-197376.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9266,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9266-243249.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9267,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-196846.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9268,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-210080.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9269,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9269-766558.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9270,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-187937.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9271,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9271-724155.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9272,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-143245.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9273,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-447542.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9274,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-540063.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9275,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-575668.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9276,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9276-512143.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9277,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9277-729573.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9278,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-203886.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9279,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9279-990154.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9280,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9280-792470.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9281,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-349461.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9282,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9282-787669.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9283,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9283-458318.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9284,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9284-170856.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9285,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9285-593119.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9286,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9286-777939.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9287,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-446953.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9288,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-942208.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9289,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9289-950523.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9290,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-798264.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9291,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-652044.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9292,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9292-897257.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9293,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9293-297476.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9294,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9294-742285.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9295,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9295-777475.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9296,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9296-561250.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9297,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-509356.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9298,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9298-125177.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9299,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9299-308486.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9300,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9300-357863.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9301,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9301-370538.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9302,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-766881.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9303,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9303-167043.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9304,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-520492.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9305,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-430773.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9306,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-172901.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9307,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-508441.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9308,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9308-442993.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9309,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-307538.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9310,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9310-112459.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9311,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-577128.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9312,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-503702.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9313,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-503606.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9314,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9314-787346.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9315,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9315-272791.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9316,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9316-567902.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9317,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9317-829612.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9318,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9318-658708.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9319,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9319-256421.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9320,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-502132.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9321,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-429267.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9322,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9322-197096.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9323,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-492244.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9324,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9324-281465.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9325,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-500110.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9326,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-813230.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9327,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9327-285424.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9328,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9328-555837.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9329,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-220984.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9330,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-857033.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9331,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-259175.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9332,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-137050.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9333,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9333-714482.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9334,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9334-372407.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9335,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-107468.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9336,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-940497.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9337,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-870336.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9338,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-957155.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9339,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9339-390670.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9340,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-487202.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9341,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9341-496755.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9342,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9342-786602.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9343,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9343-498912.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9344,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-623113.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9345,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-946613.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9346,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9346-337974.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9347,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9347-697714.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9348,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9348-998288.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9349,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-976519.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9350,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9350-917564.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9351,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9351-674731.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9352,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9352-133483.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9353,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-245883.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9354,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9354-188084.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9355,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9355-235987.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9356,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-690284.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9357,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9357-285295.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9358,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9358-700733.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9359,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9359-545853.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9360,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9360-284740.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9361,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-680133.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9362,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-566090.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9363,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9363-328340.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9364,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9364-670464.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9365,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9365-290320.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9366,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9366-629438.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9367,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-549311.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9368,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9368-495055.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9369,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9369-648200.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9370,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-618655.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9371,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-276569.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9372,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9372-924678.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9373,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9373-990335.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9374,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-943941.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9375,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-318331.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9376,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9376-166270.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9377,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9377-439140.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9378,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-290805.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9379,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-342490.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9380,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-387421.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9381,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9381-112371.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9382,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-644555.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9383,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9383-930952.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9384,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-242725.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9385,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-774719.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9386,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-522468.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9387,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-722104.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9388,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-490376.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9389,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-660302.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9390,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9390-846063.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9391,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9391-202341.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9392,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-483242.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9393,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9393-698399.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9394,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-324321.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9395,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9395-113506.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9396,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9396-749322.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9397,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-198075.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9398,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-595823.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9399,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-633468.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9400,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-596132.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9401,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9401-235674.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9402,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-725538.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9403,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-245391.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9404,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9404-160288.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9405,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-145892.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9406,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-849128.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9407,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-607629.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9408,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-922538.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9409,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9409-955476.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9410,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-286958.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9411,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-962974.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9412,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-665673.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9413,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-125497.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9414,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9414-394704.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9415,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-379572.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9416,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-879675.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9417,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-531071.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9418,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-269739.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9419,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9419-402590.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9420,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-765262.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9421,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-827392.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9422,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-209140.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9423,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9423-789633.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9424,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9424-153928.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9425,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9425-327352.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9426,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9426-902349.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9427,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9427-842333.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9428,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9428-418035.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9429,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9429-568889.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9430,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9430-290166.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9431,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-526585.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9432,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-986939.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9433,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9433-236588.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9434,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9434-540623.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9435,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9435-155935.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9436,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-173492.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9437,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9437-645552.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9438,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-933700.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9439,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-391419.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9440,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9440-766044.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9441,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-300080.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9442,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9442-658116.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9443,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9443-253666.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9444,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9444-182350.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9445,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-924871.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9446,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-491272.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9447,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-721387.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9448,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-210331.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9449,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-384344.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9450,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-391808.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9451,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9451-285872.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9452,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-740846.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9453,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-705742.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9454,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9454-588632.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9455,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9455-904455.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9456,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-151849.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9457,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9457-596005.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9458,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9458-134607.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9459,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-461138.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9460,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9460-426358.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9461,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9461-508191.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9462,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9462-541577.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9463,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9463-921352.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9464,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9464-930275.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9465,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-351962.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9466,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9466-399977.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9467,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-415721.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9468,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-156988.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9469,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9469-300224.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9470,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-989494.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9471,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9471-356114.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9472,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9472-227531.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9473,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-226476.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9474,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9474-706491.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9475,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9475-207546.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9476,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9476-198142.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9477,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9477-315773.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9478,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-229121.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9479,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9479-760215.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9480,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-451010.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9481,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9481-236041.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9482,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9482-746459.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9483,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9483-249921.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9484,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9484-226214.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9485,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9485-127993.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9486,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9486-396768.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9487,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9487-287470.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9488,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-864688.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9489,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-879515.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9490,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9490-878161.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9491,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9491-935616.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9492,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9492-664169.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9493,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-278747.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9494,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9494-197626.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9495,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9495-526064.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9496,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-213429.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9497,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9497-671344.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9498,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-778519.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9499,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9499-630770.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9500,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-813707.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9501,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-836296.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9502,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 9502-223669.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9503,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-982297.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9504,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9504-796047.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9505,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-511091.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9506,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9506-867060.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9507,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9507-185672.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9508,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9508-764088.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9509,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9509-380870.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9510,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-830558.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9511,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9511-107334.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9512,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9512-781450.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9513,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-474619.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9514,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9514-623325.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9515,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9515-300539.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9516,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-135512.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9517,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-329627.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9518,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9518-513092.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9519,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-576131.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9520,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9520-454061.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9521,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9521-308663.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9522,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-861128.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9523,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-402035.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9524,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9524-740622.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9525,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9525-190493.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9526,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-407897.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9527,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-542673.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9528,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-573994.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9529,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-619317.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9530,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9530-159088.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9531,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-540845.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9532,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-690914.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9533,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-310095.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9534,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-737823.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9535,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-212176.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9536,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-924907.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9537,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9537-811831.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9538,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-597914.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9539,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-787522.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9540,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9540-473602.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9541,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-141270.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9542,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-588446.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9543,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-396039.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9544,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-789075.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9545,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-910390.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9546,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9546-752705.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9547,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9547-550724.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9548,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-818028.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9549,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9549-362789.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9550,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-356269.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9551,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9551-108221.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9552,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-763456.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9553,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9553-629338.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9554,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-355576.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9555,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9555-465609.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9556,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9556-599256.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9557,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-179017.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9558,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9558-922908.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9559,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9559-643439.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9560,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9560-954143.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9561,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9561-660728.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9562,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-761647.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9563,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-747704.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9564,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9564-247303.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9565,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9565-485256.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9566,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-877972.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9567,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9567-300024.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9568,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9568-374277.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9569,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9569-238319.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9570,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-532949.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9571,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9571-887829.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9572,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-754763.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9573,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9573-404054.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9574,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-415946.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9575,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9575-841412.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9576,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-627315.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9577,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-617449.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9578,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-741378.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9579,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-395860.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9580,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-345895.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9581,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-735753.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9582,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9582-783511.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9583,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-284332.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9584,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9584-923104.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9585,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9585-999886.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9586,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-276951.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9587,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9587-189548.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9588,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9588-386773.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9589,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9589-474828.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9590,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9590-718097.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9591,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-435984.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9592,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9592-821515.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9593,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9593-398810.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9594,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-217385.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9595,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-858486.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9596,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9596-869339.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9597,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9597-331003.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9598,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9598-533452.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9599,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9599-610555.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9600,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9600-218087.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9601,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-730278.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9602,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-581434.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9603,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-518592.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9604,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9604-821952.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9605,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9605-110450.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9606,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-948240.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9607,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9607-968267.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9608,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9608-386026.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9609,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9609-935554.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9610,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-624361.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9611,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-293227.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9612,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9612-876381.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9613,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9613-550259.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9614,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9614-262019.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9615,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-131412.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9616,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-641837.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9617,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9617-221867.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9618,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-295599.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9619,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9619-657793.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9620,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9620-482776.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9621,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-229994.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9622,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-584365.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9623,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9623-436674.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9624,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9624-683240.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9625,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9625-844204.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9626,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9626-793435.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9627,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9627-467711.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9628,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9628-140261.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9629,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9629-151603.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9630,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9630-798871.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9631,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9631-534078.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9632,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9632-750896.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9633,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9633-275516.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9634,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-161041.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9635,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9635-557720.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9636,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9636-759396.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9637,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9637-882875.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9638,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9638-586427.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9639,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9639-142880.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9640,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9640-325510.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9641,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-902500.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9642,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9642-788737.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9643,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9643-131322.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9644,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-721162.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9645,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9645-984665.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9646,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9646-488523.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9647,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-849113.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9648,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-362578.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9649,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-977562.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9650,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9650-437469.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9651,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-542848.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9652,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-705504.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9653,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-367541.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9654,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9654-429007.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9655,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-295041.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9656,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9656-833911.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9657,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-820263.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9658,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-262530.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9659,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9659-171935.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9660,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-236014.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9661,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-654295.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9662,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9662-385906.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9663,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-426999.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9664,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-491004.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9665,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-323601.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9666,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-168301.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9667,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-263366.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9668,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9668-941236.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9669,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-104318.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9670,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-271245.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9671,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-339169.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9672,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-314079.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9673,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-243847.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9674,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-372739.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9675,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-763608.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9676,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9676-107939.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9677,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9677-163794.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9678,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9678-853108.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9679,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-814836.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9680,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9680-371098.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9681,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-780427.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9682,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-610675.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9683,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9683-156840.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9684,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9684-857638.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9685,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9685-861621.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9686,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9686-199688.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9687,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9687-190497.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9688,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9688-793407.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9689,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9689-275530.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9690,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-894336.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9691,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9691-551613.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9692,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-278108.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9693,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-819236.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9694,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-525780.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9695,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9695-614772.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9696,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9696-648971.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9697,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-315340.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9698,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9698-615123.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9699,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-439419.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9700,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9700-606636.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9701,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9701-742329.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9702,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-733222.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9703,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9703-504097.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9704,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-362372.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9705,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9705-748513.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9706,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9706-723336.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9707,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-251360.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9708,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-677408.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9709,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-731809.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9710,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9710-653846.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9711,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-167416.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9712,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9712-953394.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9713,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9713-930379.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9714,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-900081.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9715,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-239733.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9716,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9716-551056.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9717,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9717-208076.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9718,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-726865.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9719,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-635597.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9720,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-671549.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9721,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-945081.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9722,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9722-538331.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9723,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-284713.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9724,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9724-420069.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9725,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-225136.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9726,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9726-976037.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9727,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9727-961898.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9728,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9728-310961.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9729,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9729-713639.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9730,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-550439.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9731,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-910771.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9732,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-515460.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9733,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-326371.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9734,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-453283.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9735,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9735-761396.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9736,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9736-411732.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9737,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9737-489702.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9738,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-649033.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9739,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-368750.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9740,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-772845.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9741,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9741-321116.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9742,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-934916.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9743,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-468844.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9744,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-334740.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9745,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9745-812788.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9746,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-529310.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9747,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9747-500085.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9748,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9748-940252.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9749,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-639479.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9750,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9750-943555.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9751,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-849892.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9752,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9752-763943.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9753,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9753-785647.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9754,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-918010.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9755,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-645715.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9756,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9756-623339.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9757,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9757-491827.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9758,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-586798.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9759,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9759-395645.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9760,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9760-734981.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9761,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9761-585707.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9762,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-682997.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9763,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9763-609777.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9764,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-926881.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9765,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9765-942000.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9766,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9766-420824.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9767,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9767-859566.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9768,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9768-678279.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9769,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-510860.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9770,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9770-183213.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9771,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-349259.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9772,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-130862.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9773,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9773-833254.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9774,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9774-508504.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9775,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-892594.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9776,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-784519.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9777,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9777-431067.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9778,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-728921.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9779,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-194411.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9780,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-359751.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9781,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-663885.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9782,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9782-656006.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9783,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-257527.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9784,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9784-561831.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9785,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-925674.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9786,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9786-363036.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9787,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9787-280403.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9788,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-744459.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9789,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9789-617151.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9790,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9790-293096.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9791,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9791-190409.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9792,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9792-628716.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9793,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9793-359918.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9794,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-449543.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9795,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9795-111141.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9796,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9796-622606.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9797,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9797-966028.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9798,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-796258.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9799,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-536207.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9800,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9800-911927.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9801,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-984868.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9802,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-660402.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9803,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-834753.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9804,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-122021.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9805,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9805-794194.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9806,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-535458.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9807,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-387159.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9808,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9808-952839.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9809,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-574869.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9810,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-150291.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9811,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-727206.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9812,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9812-656096.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9813,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9813-279619.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9814,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-141938.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9815,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9815-707560.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9816,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-959430.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9817,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9817-223846.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9818,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-590152.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9819,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-296248.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9820,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9820-845724.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9821,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-855810.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9822,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-877460.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9823,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-703449.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9824,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9824-293448.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9825,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9825-684060.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9826,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-101271.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9827,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-499569.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9828,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-538270.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9829,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-779273.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9830,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-807395.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9831,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-201675.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9832,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-521190.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9833,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9833-408136.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9834,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9834-181188.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9835,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9835-307833.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9836,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-222366.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9837,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-835296.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9838,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-214830.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9839,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-470086.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9840,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-611785.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9841,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9841-776839.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9842,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-592839.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9843,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-748520.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9844,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-234511.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9845,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9845-719550.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9846,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-786626.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9847,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-952025.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9848,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-117883.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9849,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9849-935504.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9850,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-837363.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9851,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-239329.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9852,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-710854.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9853,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9853-384382.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9854,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9854-614487.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9855,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-634599.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9856,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9856-164531.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9857,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-933700.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9858,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9858-491826.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9859,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9859-676201.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9860,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-473228.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9861,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-107518.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9862,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-604969.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9863,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9863-931935.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9864,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-555193.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9865,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9865-818901.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9866,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9866-766709.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9867,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-953243.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9868,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; 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: 9868-463531.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9869,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-965115.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9870,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-962841.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9871,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9871-187586.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9872,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9872-858102.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9873,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-832585.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9874,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9874-254516.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9875,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-434413.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9876,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-958457.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9877,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9877-970653.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9878,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9878-459170.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9879,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-197150.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9880,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9880-313445.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9881,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9881-349620.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9882,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9882-106103.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9883,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-953714.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9884,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-529515.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9885,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9885-982653.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9886,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9886-437970.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9887,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9887-507956.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9888,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-197386.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9889,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-766789.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9890,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9890-691977.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9891,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9891-745064.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9892,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9892-333614.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9893,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9893-472587.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9894,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9894-411579.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9895,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9895-612186.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9896,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9896-703643.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9897,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-178160.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9898,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9898-765689.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9899,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9899-301906.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9900,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9900-636915.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9901,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9901-684530.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9902,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9902-225933.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9903,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-118771.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9904,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-512954.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9905,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9905-883236.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9906,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-847071.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9907,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9907-164874.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9908,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT_BR_ES; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9908-880647.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9909,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9909-218952.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9910,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-986950.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9911,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; 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: 9911-907777.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9912,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-567969.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9913,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9913-342457.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9914,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-929395.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9915,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9915-716020.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9916,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-942662.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9917,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-110010.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9918,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9918-254989.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9919,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-982218.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9920,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-916632.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9921,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-241686.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9922,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9922-896728.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9923,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9923-865683.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9924,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9924-620106.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9925,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; 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: 9925-520596.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9926,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9926-578456.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9927,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-923215.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9928,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-915977.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9929,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-803404.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9930,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-139568.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9931,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9931-248960.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9932,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9932-427803.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9933,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-976348.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9934,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-340991.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9935,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-348709.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9936,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-599197.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9937,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-933348.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9938,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-875410.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9939,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9939-267491.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9940,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-988525.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9941,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-760954.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9942,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9942-874021.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9943,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9943-616633.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9944,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-737851.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9945,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-574236.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9946,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-107502.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9947,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-188399.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9948,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-174890.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9949,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9949-965743.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9950,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9950-978924.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9951,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-398319.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9952,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9952-327833.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9953,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: robustness-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-244586.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9954,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9954-991944.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9955,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-763983.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9956,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9956-635589.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9957,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-236598.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9958,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-671282.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9959,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-349623.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9960,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-153427.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9961,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9961-968214.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9962,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9962-805387.",telecom grounded-qa regression-suite multi-hop pt-br-es,detailed,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9963,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-804716.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9964,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT_BR_ES; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-874411.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9965,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-248206.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9966,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-648310.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9967,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-129446.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9968,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-216793.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9969,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9969-752885.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9970,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT_BR_ES; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-268006.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9971,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-158762.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9972,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-309062.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9973,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-680769.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9974,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9974-701843.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9975,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-394152.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9976,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9976-219950.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9977,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9977-776727.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9978,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9978-387730.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,high-precision,2026-02-23T06:44:46.238765Z,1.0000,ok
+9979,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT_BR_ES; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9979-759977.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9980,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: multi-hop; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9980-441976.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9981,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-705831.",telecom grounded-qa regression-suite multi-hop pt-br-es,stylized,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9982,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; Persona: data scientist; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9982-167823.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9983,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: multi-hop; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9983-350156.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9984,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT_BR_ES; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9984-997666.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,commercial,2026-02-23T06:44:46.238765Z,1.0000,ok
+9985,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: multi-hop; Language: PT_BR_ES; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9985-359856.",telecom grounded-qa regression-suite multi-hop pt-br-es,clean,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9986,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-multi-hop; 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: 9986-484830.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9987,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT_BR_ES; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9987-674665.",telecom grounded-qa regression-suite multi-hop pt-br-es,minimal,benchmark-grade,2026-02-23T06:44:46.238765Z,1.0000,ok
+9988,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: multi-hop; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9988-470342.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9989,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9989-345460.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,premium,2026-02-23T06:44:46.238765Z,1.0000,ok
+9990,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa-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: 9990-648766.",telecom grounded-qa regression-suite multi-hop pt-br-es,production-ready,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
+9991,"Theme: telecom grounded-qa regression-suite multi-hop pt-br-es; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9991-331617.",telecom grounded-qa regression-suite multi-hop pt-br-es,cinematic,consistent,2026-02-23T06:44:46.238765Z,1.0000,ok
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