state unknown | question stringclasses 1
value | options listlengths 4 4 | type stringclasses 1
value | target int64 0 3 | meta dict |
|---|---|---|---|---|---|
{
"title": "Viet mo ta san pham giong trang trong cho he thong quan ly truong hoc, khoang 150 tu. Dung markdown nhe."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi_nodiac",
"family": "product_blurb",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-medium-product_blurb-22641",
"source": "synthetic_router_rt008"
} |
{
"title": "4 ounce bằng bao nhiuê gram?",
"description": "Số liệu bên dưới là tạm tính. Tuần sau sẽ có cuộc gọi tiếp theo. Phần lớn người dùng đăng ký qua app."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi",
"family": "unit_convert",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi-small-unit_convert-3758",
"source": "synthetic_router_rt008"
} |
{
"title": "To mau ban do 3 vung voi 3 mau sao cho hai vung ke nhau khac mau: co lam duoc khong? Chung minh. Tra loi bang tieng Viet."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi_nodiac",
"family": "search_puzzle_vi",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-reasoning-search_puzzle_vi-50669",
"source": "synthetic_router_rt008"
} |
{
"title": "Việc ở công ty: Tam giác ABC có AB = 10, AC = 9, góc A = 60 độ. Tính bán kính đường tròn nội tiếp, lập luận từng bước.",
"description": "Bản nháp vẫn cần pháp chế duyệt. Số liệu bên dưới là tạm tính."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi",
"family": "geometry",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-reasoning-geometry-46573",
"source": "synthetic_router_rt008"
} |
{
"title": "Doi 7 km sang dam."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "unit_convert",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-unit_convert-6025",
"source": "synthetic_router_rt008"
} |
{
"title": "chi tieu de muc cho one-pager ve hang doi tin nhna."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi_nodiac",
"family": "outline_only",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-medium-outline_only-20600",
"source": "synthetic_router_rt008"
} |
{
"title": "회사 일인데요. 5x5 후토시키: 부등호 단서로 풀고 강제되는 숫자마다 근거를 대 줘."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "ko",
"family": "search_puzzle_vi",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-reasoning-search_puzzle_vi-53845",
"source": "synthetic_router_rt008"
} |
{
"title": "Could you Migrate all 34 services of a pharmacy chain POS to the new logging library."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "codebase_upgrade",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-en-large-codebase_upgrade-42504",
"source": "synthetic_router_rt008"
} |
{
"title": "Danh sach nay co may phan tu: a, b, c, d, e, f? Dung markdown nhe.",
"description": "Lien he bo phan ho tro de duoc cap quyen."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "count_items",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-count_items-7149",
"source": "synthetic_router_rt008"
} |
{
"title": "Quick one from work. Design tracing + metrics + log correlation for a canary rollout across 3 services."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "observability",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-large-observability-42671",
"source": "synthetic_router_rt008"
} |
{
"title": "From Στ=Iα only, derive the condition for static equilibrium of a beam with 3 point loads; justify each step. Use markdown."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "en",
"family": "torque_derive",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-en-reasoning-torque_derive-59269",
"source": "synthetic_router_rt008"
} |
{
"title": "Bạn ơi, Tạo toàn bộ codebase cho công cụ quản lý kho, từ database đến giao diện."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "full_app",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-large-full_app-32966",
"source": "synthetic_router_rt008"
} |
{
"title": "Bạn ơi, \"Buồn\" tiếng Anh là gì? một từ."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi",
"family": "lookup_terse_vi",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-small-lookup_terse_vi-2207",
"source": "synthetic_router_rt008"
} |
{
"title": "Is Thailand north or south of the equator? Reply in English."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "en",
"family": "pick_option",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-en-small-pick_option-12930",
"source": "synthetic_router_rt008"
} |
{
"title": "부탁해요: 학교 관리 시스템에 친구 추천 기능 전체 구현해 줘: DB, 백엔드 API, 관리자 페이지, 모바일 화면.",
"description": "다음 주에 후속 통화가 예정되어 있습니다. 팀은 화요일에 진행 상황을 점검했습니다."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "ko",
"family": "full_feature",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-large-full_feature-39390",
"source": "synthetic_router_rt008"
} |
{
"title": "công thức image gọn cho cli ajva in json ra stdout."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi",
"family": "solo_service_image",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi-medium-solo_service_image-15687",
"source": "synthetic_router_rt008"
} |
{
"title": "HTTPS mặc định dùng cổng nào? Dùng markdown nhé."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi",
"family": "short_fact_tech",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi-small-short_fact_tech-744",
"source": "synthetic_router_rt008"
} |
{
"title": "혹시 이 문장을 <p> 태그로 감싸 줘: 금요일까지 송장을 보내 주세요."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "ko",
"family": "xml_tag",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-small-xml_tag-9992",
"source": "synthetic_router_rt008"
} |
{
"title": "Xay tron MVP nha sach online: backend, web frontend, xac thuc, thanh toan va deploy."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "full_app",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-full_app-35633",
"source": "synthetic_router_rt008"
} |
{
"title": "Bạn ơi, Viết RFC kỹ thuật bổ sung multi-tenant cho dịch vụ bán vé xem phim: mục tiêu, thiết kế, phương án khác, triển khai."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "rfc",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-large-rfc-32514",
"source": "synthetic_router_rt008"
} |
{
"title": "Split 9 evening sessions to review SQL indexes before an interview, one topic each. Reply in English."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "en",
"family": "day_schedule_vi",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-en-medium-day_schedule_vi-29185",
"source": "synthetic_router_rt008"
} |
{
"title": "d\"ung 7 nguoi trong chung toi noi doi\" — tim cach doc nhat quan va chung minh phan con lai mau thuan."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi_nodiac",
"family": "liar_panel",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-reasoning-liar_panel-52698",
"source": "synthetic_router_rt008"
} |
{
"title": "Viết unit test Java cho hàm đổi độ C sang độ F.",
"description": " return total\n}\n return total\nconst res = await fetch(url);\nlet data = res.json()\n for x in item['rows']:\nfor i := 0; i < n; i++ {"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi",
"family": "unit_tests",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi-medium-unit_tests-18079",
"source": "synthetic_router_rt008"
} |
{
"title": "C3H8 + O2 -> CO2 + H2O를 균형 맞추고 프로판 2 mol에 필요한 O2를 모든 몰비와 함께 계산해 줘."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "ko",
"family": "chem_stoich",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-ko-reasoning-chem_stoich-54523",
"source": "synthetic_router_rt008"
} |
{
"title": "Cho bai tap o truong: Doi ten bien trong doan code nay cho de doc.",
"description": " raise ValueError('limit')\nSELECT id, total FROM orders WHERE status = 'paid';\n queue <- jobs[i]\n queue <- jobs[i]\n}\nfor i := 0; i < n; i++ {\n return total\n}\n raise ValueError('limit')\nSELECT... | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi_nodiac",
"family": "code_comment",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-medium-code_comment-22295",
"source": "synthetic_router_rt008"
} |
{
"title": "Quick one from work. Balance this redox reaction in acidic solution and justify each step: MnO4- + Fe2+."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "en",
"family": "chem_balance",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-reasoning-chem_balance-59155",
"source": "synthetic_router_rt008"
} |
{
"title": "Viết dàn ý tiểu thuyết ngắn 9 chương và toàn bộ chương một."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "novel_chapter",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi-large-novel_chapter-30824",
"source": "synthetic_router_rt008"
} |
{
"title": "Mình là dev ở startup nhỏ. Sửa chính tả giúp mình: \"Gói hàng đến trễ hai ngày.\""
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi",
"family": "fix_spelling",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-small-fix_spelling-4021",
"source": "synthetic_router_rt008"
} |
{
"title": "Giúp mình với: Tìm ba chữ số cuối của 7^2026, giải thích từng bước.",
"description": "Một số khách hỏi về giá. Liên hệ bộ phận hỗ trợ để được cấp quyền. Phần lớn người dùng đăng ký qua app."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi",
"family": "number_theory",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-reasoning-number_theory-48828",
"source": "synthetic_router_rt008"
} |
{
"title": "부동산 매물 사이트의 인증, 저장소, API 취약점을 점검한 전체 보고서. 짧게 답해 줘."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "ko",
"family": "security_audit",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-ko-large-security_audit-41828",
"source": "synthetic_router_rt008"
} |
{
"title": "Giúp mình với: Gán một nhãn chủ đề cho câu: Gói hàng đến trễ hai ngày."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi",
"family": "keyword_tag",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-small-keyword_tag-3692",
"source": "synthetic_router_rt008"
} |
{
"title": "trich cac ngay thang xuat hien trong doan van sau.",
"description": "Nhom da hop hom thu Ba de ra soat tien do. Tuan sau se co cuoc goi tiep theo. Lien he bo phan ho tro de duoc cap quyen. Bo qua bang tinh cu nhe."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "extract_contact",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-extract_contact-8086",
"source": "synthetic_router_rt008"
} |
{
"title": "chung minh tung buoc ceasar xoay chu ky 4 chi co mot cach igai khop tu dien."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi_nodiac",
"family": "shift_decode",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-reasoning-shift_decode-52415",
"source": "synthetic_router_rt008"
} |
{
"title": "For a school project: Write a TOML config for a JavaScript CLI with [server] host and port=4."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "en",
"family": "toml_config",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-medium-toml_config-28175",
"source": "synthetic_router_rt008"
} |
{
"title": "Việc ở công ty: Lập kế hoạch chuyển công cụ quản lý kho từ monolith sang microservices, từng bước kèm rủi ro."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "migration_plan",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-large-migration_plan-33078",
"source": "synthetic_router_rt008"
} |
{
"title": "For a school project: Port the whole an e-wallet backend from PHP to Python.",
"description": "Several customers asked about pricing. A follow-up call is planned for next week. Contact the support desk for access."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "legacy_rewrite",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-large-legacy_rewrite-43991",
"source": "synthetic_router_rt008"
} |
{
"title": "Cho bài tập ở trường: Tìm ba chữ số cuối của 7^2026, giải thích từng bước."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi",
"family": "number_theory",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-reasoning-number_theory-48787",
"source": "synthetic_router_rt008"
} |
{
"title": "Rà soát xác thực, lưu trữ và API của nền tảng học trực tuyến tìm lỗ hổng, báo cáo đầy đủ. Trả lời ngắn gọn."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "security_audit",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi-large-security_audit-32317",
"source": "synthetic_router_rt008"
} |
{
"title": "Hey, can you help? Review all 7 attached contracts (120 pages) and flag risky clauses in a report.",
"description": "[Attached: board meeting transcript, 120 pages] Most users signed up through the mobile app. The team met on Tuesday to review progress. Several customers asked about pricing. A follow-up... | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "contract_review",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-en-large-contract_review-44263",
"source": "synthetic_router_rt008"
} |
{
"title": "a message was encoded by reversing every word then swapping case. recover the plaintext and prove the mapping is unique."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "en",
"family": "cryptic_decode",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-en-reasoning-cryptic_decode-57064",
"source": "synthetic_router_rt008"
} |
{
"title": "Chuyen dong TSV nay thanh dict Python: name\\tAn\\tage\\t3",
"description": "Bo qua bang tinh cu nhe. Phan lon nguoi dung dang ky qua app. Mot so khach hoi ve gia. So lieu ben duoi la tam tinh."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "tsv_reshape",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-tsv_reshape-7506",
"source": "synthetic_router_rt008"
} |
{
"title": "Nho ban: Puzzle hop dan nhan voi mot quy tac noi that — chi ra nhan nhat quan duy nhat."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi_nodiac",
"family": "riddle_logic",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-reasoning-riddle_logic-52403",
"source": "synthetic_router_rt008"
} |
{
"title": "Chuỗi biconditional này khẳng định P↔Q↔R suy ra P. Chỉ đúng bước sai và chứng minh countermodel kích thước 11. Trả lời bằng tiếng Việt."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi",
"family": "truth_table_trap",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi-reasoning-truth_table_trap-46046",
"source": "synthetic_router_rt008"
} |
{
"title": "혹시 부동산 매물 사이트 팀 개발자 핸드북 전체를 작성해 줘.",
"description": "초안은 아직 법무 검토가 필요합니다."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "ko",
"family": "onboarding_doc",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-large-onboarding_doc-39543",
"source": "synthetic_router_rt008"
} |
{
"title": "10킬로미터는 몇 마일이야?"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "ko",
"family": "unit_convert",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-ko-small-unit_convert-8675",
"source": "synthetic_router_rt008"
} |
{
"title": "혹시 6 더하기 248은 얼마야?"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "ko",
"family": "arith",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-small-arith-9452",
"source": "synthetic_router_rt008"
} |
{
"title": "hàm typescript này bị lỗi typeerror, sửa giúp mình. chỉ một hàm khoảng 8 dòng.",
"description": " raise ValueError('limit')\n raise ValueError('limit')\ncache.set(key, value, ttl=60)\n}"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi",
"family": "fix_simple_bug",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi-medium-fix_simple_bug-15130",
"source": "synthetic_router_rt008"
} |
{
"title": "For a school project: Quick Python snippet to find the max of three numbers?",
"description": "The draft still needs legal review."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "en",
"family": "short_function",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-medium-short_function-29499",
"source": "synthetic_router_rt008"
} |
{
"title": "주어진 9에 대해 나머지 경우 분할로 n^2 ≢ 2 (mod 9)를 증명해 줘. 마크다운으로."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "ko",
"family": "case_split_prove",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-ko-reasoning-case_split_prove-54102",
"source": "synthetic_router_rt008"
} |
{
"title": "Loi giai hai con tro nay co bo sot truong hop nao khong? Chung minh no dung voi moi dau vao. Tra loi ngan gon.",
"description": " raise ValueError('limit')\nfor i := 0; i < n; i++ {\nif (user == null) return;\n raise ValueError('limit')\ncache.set(key, value, ttl=60)\ncache.set(key, value,... | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi_nodiac",
"family": "algo_correctness",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-reasoning-algo_correctness-52250",
"source": "synthetic_router_rt008"
} |
{
"title": "tạo toàn bộ codebase cho thư viện số, từ datbaase đến giao diện."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "full_app",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi-large-full_app-32764",
"source": "synthetic_router_rt008"
} |
{
"title": "회사 일인데요. 지원팀을 위한 REST와 GraphQL 교육 매뉴얼 전체 작성.",
"description": "초안은 아직 법무 검토가 필요합니다."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "ko",
"family": "course_material",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-large-course_material-40464",
"source": "synthetic_router_rt008"
} |
{
"title": "đề xuất kiến túrc đa service cho ứng dụng đặt lịch khám bệnh với đường promote ci và thư viện dùng chung."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "architecture",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi-large-architecture-31157",
"source": "synthetic_router_rt008"
} |
{
"title": "학교 과제용이에요. 일-에너지 정리로 운동에너지 (1/2)mv^2를 단계별로 보여 줘."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "ko",
"family": "science_derive",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-reasoning-science_derive-54234",
"source": "synthetic_router_rt008"
} |
{
"title": "Mình là dev ở startup nhỏ. Đổi dòng TSV này thành dict Python: name\\tAn\\tage\\t12"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi",
"family": "tsv_reshape",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-small-tsv_reshape-3834",
"source": "synthetic_router_rt008"
} |
{
"title": "회사 일인데요. Redis 캐시 장단점을 짧은 표로 비교해 줘."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "ko",
"family": "pros_cons",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-medium-pros_cons-24960",
"source": "synthetic_router_rt008"
} |
{
"title": "three-day outline to finish a side project on a msart home dashboard."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "en",
"family": "short_plan",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-en-medium-short_plan-29019",
"source": "synthetic_router_rt008"
} |
{
"title": "부탁해요: 쉬운 말로, 이 30줄 C# 블록이 무엇을 계산해?",
"description": "if (user == null) return;\n total = 0\n raise ValueError('limit')\n queue <- jobs[i]\n total = 0\nSELECT id, total FROM orders WHERE status = 'paid';\ncache.set(key, value, ttl=60)"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "ko",
"family": "snip_walkthrough",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-medium-snip_walkthrough-25960",
"source": "synthetic_router_rt008"
} |
{
"title": "Refactor module thanh toan cua nen tang hoc truc tuyen tu callback sang async/await, gom 32 file."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "multi_file_refactor",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-multi_file_refactor-38154",
"source": "synthetic_router_rt008"
} |
{
"title": "cau nay la tieng gi: \"toi de quen o tren xe buyt.\"?"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "lang_detect",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-lang_detect-6427",
"source": "synthetic_router_rt008"
} |
{
"title": "첨부 설문 데이터를 탐색해서 인사이트 보고서 전체 작성해 줘.",
"description": "[첨부: 보안 감사 보고서, 90페이지] 팀은 화요일에 진행 상황을 점검했습니다. 날씨 때문에 배송 두 건이 지연되었습니다. 아래 수치는 잠정치입니다. 초안은 아직 법무 검토가 필요합니다. 예전 스프레드시트는 무시해 주세요."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "ko",
"family": "dataset_analysis",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-ko-large-dataset_analysis-39931",
"source": "synthetic_router_rt008"
} |
{
"title": "SLO và đường alert nào nên gate release monorepo của ứng dụng theo dõi tập luyện? Trả lời ngắn gọn."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "observability",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi-large-observability-30470",
"source": "synthetic_router_rt008"
} |
{
"title": "부탁해요: 5 더하기 248은 얼마야?"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "ko",
"family": "arith",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-small-arith-11524",
"source": "synthetic_router_rt008"
} |
{
"title": "혹시 렌터카 플랫폼 모든 서비스의 로깅, 메트릭, 트레이싱, 알림을 설계해 줘."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "ko",
"family": "observability",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-ko-large-observability-40230",
"source": "synthetic_router_rt008"
} |
{
"title": "Viet ke hoach kinh doanh chi tiet cho nen tang hoc truc tuyen: thi truong, doi thu, gia, go-to-market va tai chinh 3 nam. Tra loi bang tieng Viet."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "business_plan",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-business_plan-36930",
"source": "synthetic_router_rt008"
} |
{
"title": "\"시끄럽다\" 반대말 한 단어.",
"description": "초안은 아직 법무 검토가 필요합니다."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "ko",
"family": "word_lookup_vi",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-ko-small-word_lookup_vi-11640",
"source": "synthetic_router_rt008"
} |
{
"title": "viết endpoint đăng nhập đơn giản cho bảng điều khiển nhà thông minh có kiểm tra đầu vào.",
"description": "Số liệu bên dưới là tạm tính. Bản nháp vẫn cần pháp chế duyệt. Bỏ qua bảng tính cũ nhé."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi",
"family": "api_endpoint",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi-medium-api_endpoint-16454",
"source": "synthetic_router_rt008"
} |
{
"title": "I work at a small startup. Meaning of \"ephemeral\" in one line?"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "en",
"family": "define_word",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-small-define_word-14910",
"source": "synthetic_router_rt008"
} |
{
"title": "trai nghia cua \"rong\", mot tu.",
"description": "So lieu ben duoi la tam tinh. Tuan sau se co cuoc goi tiep theo."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "lookup_terse_vi",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-lookup_terse_vi-4708",
"source": "synthetic_router_rt008"
} |
{
"title": "Why can a finite automaton not recognize a^n b^n? Pumping lemma sketch. Reply in English."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "en",
"family": "terse_proof_vi",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-en-reasoning-terse_proof_vi-58073",
"source": "synthetic_router_rt008"
} |
{
"title": "Viet giao trinh dao tao day du ve ma trang thai HTTP cho nhan vien ho tro. Dung markdown nhe."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "course_material",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-course_material-35292",
"source": "synthetic_router_rt008"
} |
{
"title": "아래 글에서 이메일 주소만 뽑아 줘. 짧게 답해 줘.",
"description": "예전 스프레드시트는 무시해 주세요. 대부분의 사용자는 모바일 앱으로 가입했습니다. 몇몇 고객이 가격을 문의했습니다."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "ko",
"family": "extract_contact",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-ko-small-extract_contact-9042",
"source": "synthetic_router_rt008"
} |
{
"title": "build a complete a clinic appointment booking app mvp: backend, web frontend, auth, payments and deployment.",
"description": "Several customers asked about pricing. Contact the support desk for access. Numbers below are preliminary."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "full_app",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-en-large-full_app-43976",
"source": "synthetic_router_rt008"
} |
{
"title": "wirte a checklist for launchign a small landing page."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "en",
"family": "checklist",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-en-medium-checklist-28785",
"source": "synthetic_router_rt008"
} |
{
"title": "Bạn ơi, Rà soát xác thực, lưu trữ và API của nền tảng giao đồ ăn tìm lỗ hổng, báo cáo đầy đủ."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi",
"family": "security_audit",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-large-security_audit-31290",
"source": "synthetic_router_rt008"
} |
{
"title": "Nho ban: Chuyen ham C# nho nay sang Python.",
"description": "def handle(item):\n total += x['price'] * x['qty']\ndef handle(item):\ndef handle(item):\nconst res = await fetch(url);"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi_nodiac",
"family": "convert_snippet",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-medium-convert_snippet-22330",
"source": "synthetic_router_rt008"
} |
{
"title": "Lay ba dong tu hanh dong tu: \"nen tang hoc truc tuyen can review, ship va monitor\". Dung markdown nhe.",
"description": "Phan lon nguoi dung dang ky qua app. So lieu ben duoi la tam tinh. Tuan sau se co cuoc goi tiep theo. Ban nhap van can phap che duyet."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "bullet_extract",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-bullet_extract-6026",
"source": "synthetic_router_rt008"
} |
{
"title": "4 ounce bagn bao nhieu garm?"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "unit_convert",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-unit_convert-5361",
"source": "synthetic_router_rt008"
} |
{
"title": "Balance C3H8 + O2 -> CO2 + H2O and compute O2 needed for 3 mol propane; show every mole ratio. Use markdown.",
"description": "Please ignore the old spreadsheet. Several customers asked about pricing. The draft still needs legal review."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "en",
"family": "chem_stoich",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-en-reasoning-chem_stoich-57795",
"source": "synthetic_router_rt008"
} |
{
"title": "cong 3 voi 248."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "arith",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-arith-5541",
"source": "synthetic_router_rt008"
} |
{
"title": "Turn this TSV line into a Python dict: name\\tAn\\tage\\t10 Reply in English.",
"description": "Several customers asked about pricing."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "en",
"family": "tsv_reshape",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-en-small-tsv_reshape-12608",
"source": "synthetic_router_rt008"
} |
{
"title": "Dịch thông báo ngắn sau sang tiếng Hàn.",
"description": "Một số khách hỏi về giá. Thời tiết làm trễ hai chuyến giao hàng. Phần lớn người dùng đăng ký qua app. Số liệu bên dưới là tạm tính. Liên hệ bộ phận hỗ trợ để được cấp quyền. Nhóm đã họp hôm thứ Ba để rà soát tiến độ. Bỏ qua bảng tính cũ nhé."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi",
"family": "translate_paragraph",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi-medium-translate_paragraph-18976",
"source": "synthetic_router_rt008"
} |
{
"title": "Quick one from work. Propose a full system design for a school management system that can serve a million users.",
"description": "Please ignore the old spreadsheet. The office moved to the fifth floor."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "architecture",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-large-architecture-42639",
"source": "synthetic_router_rt008"
} |
{
"title": "Chi liet ke cac so trong: order 9, qty 4, total 320. Dung markdown nhe."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "bullet_extract",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-bullet_extract-7074",
"source": "synthetic_router_rt008"
} |
{
"title": "Cho bài tập ở trường: Tạo .gitignore cho web app Kotlin và giải thích từng dòng."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "vi",
"family": "makefile",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-medium-makefile-16103",
"source": "synthetic_router_rt008"
} |
{
"title": "크라우드펀딩 사이트용 입력 검증이 있는 간단한 로그인 엔드포인트 써 줘."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 1 | {
"decision": "route",
"language": "ko",
"family": "api_endpoint",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-ko-medium-api_endpoint-23762",
"source": "synthetic_router_rt008"
} |
{
"title": "Giải mã phép thế alphabet tùy chỉnh này và chỉ ra vì sao chỉ một bản rõ khớp crib đã biết. Trả lời bằng tiếng Việt.",
"description": "Bản nháp vẫn cần pháp chế duyệt. Tuần sau sẽ có cuộc gọi tiếp theo. Một số khách hỏi về giá."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi",
"family": "cryptic_decode",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi-reasoning-cryptic_decode-45365",
"source": "synthetic_router_rt008"
} |
{
"title": "Giup minh voi: Cau nay noi no co 8 loi. Giai tu tham chieu va chung minh so nao nhat quan."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi_nodiac",
"family": "self_ref_riddle",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-reasoning-self_ref_riddle-51443",
"source": "synthetic_router_rt008"
} |
{
"title": "Hiep si luon noi that, ke gian luon noi doi. Giai cau do 8 nguoi nay tung buoc. Tra loi bang tieng Viet."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi_nodiac",
"family": "liars_puzzle",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-reasoning-liars_puzzle-49931",
"source": "synthetic_router_rt008"
} |
{
"title": "dich va ban dia hoa toan bo huong dan su dung 180 trang cua dich vu ban ve xem phim sagn tieng han.",
"description": "[Dinh kem: bao cao kiem toan bao mat, 180 trang] Mot so khach hoi ve gia. Bo qua bang tinh cu nhe. Van phong da chuyen len tang nam."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "localize_doc",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-localize_doc-35246",
"source": "synthetic_router_rt008"
} |
{
"title": "Minh la dev o startup nho. Soan toan bo slide va ghi chu thuyet trinh cho workshop 2 ngay ve transaction trong co so du lieu."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "course_material",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-course_material-35312",
"source": "synthetic_router_rt008"
} |
{
"title": "Refactor the payment module of a school management system from callbacks to async/await across 7 files. Answer briefly."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "multi_file_refactor",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-en-large-multi_file_refactor-43776",
"source": "synthetic_router_rt008"
} |
{
"title": "Viec o cong ty: Nen thiet ke ung dung len lich trinh du lich the nao tu dau den cuoi? Bao quat moi thanh phan."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "architecture",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-architecture-34840",
"source": "synthetic_router_rt008"
} |
{
"title": "Upgrade the a car rental platform codebase from Python 2 to Python 3 across 39 modules."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "codebase_upgrade",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-en-large-codebase_upgrade-43860",
"source": "synthetic_router_rt008"
} |
{
"title": "transaction trong co so du lieu la gi, tra loi mot cau thoi.",
"description": "Mot so khach hoi ve gia. Lien he bo phan ho tro de duoc cap quyen. Ban nhap van can phap che duyet."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "acronym",
"style": "plain",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-acronym-5506",
"source": "synthetic_router_rt008"
} |
{
"title": "Giúp mình với: A nói \"B sai về C\". Gỡ chuỗi 7 khẳng định lồng nhau và quyết định ai có thể nói thật.",
"description": "Liên hệ bộ phận hỗ trợ để được cấp quyền."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "vi",
"family": "liar_chain",
"style": "polite_prefix",
"split": "train",
"scenario_id": "rt008-train-vi-reasoning-liar_chain-45768",
"source": "synthetic_router_rt008"
} |
{
"title": "Quick one from work. Write a complete 5,000-word feature article about a movie ticketing service."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "en",
"family": "novel_chapter",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-large-novel_chapter-43419",
"source": "synthetic_router_rt008"
} |
{
"title": "For a school project: How many 3-digit multiples of 7 have digit sum 5? Show work."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 3 | {
"decision": "route",
"language": "en",
"family": "short_multistep_vi",
"style": "context_prefix",
"split": "train",
"scenario_id": "rt008-train-en-reasoning-short_multistep_vi-58468",
"source": "synthetic_router_rt008"
} |
{
"title": "\"phu du\" ngiha la gi, mot dong thoi?"
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 0 | {
"decision": "route",
"language": "vi_nodiac",
"family": "define_word",
"style": "lower_noisy",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-small-define_word-6102",
"source": "synthetic_router_rt008"
} |
{
"title": "Viet dan y tieu thuyet ngan 7 chuong va toan bo chuong mot. Tra loi bang tieng Viet."
} | Which model tier should handle this prompt? | [
"small",
"medium",
"large",
"reasoning"
] | choice | 2 | {
"decision": "route",
"language": "vi_nodiac",
"family": "novel_chapter",
"style": "constraint_suffix",
"split": "train",
"scenario_id": "rt008-train-vi_nodiac-large-novel_chapter-37512",
"source": "synthetic_router_rt008"
} |
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