--- id: task_043_comprehensive_decision_medium_medium018 name: comprehensive_decision-medium-medium018 category: comprehensive_decision grading_type: llm_judge timeout_seconds: 1200 gold_file: qa_gold/comprehensive_decision/medium018.json workspace_files: [ { "source": "database/bilingual_translation_english_chinese.json", "dest": "database/bilingual_translation_english_chinese.json" }, { "source": "database/enterprise/company_core.csv", "dest": "database/enterprise/company_core.csv" }, { "source": "database/enterprise/company_operation_status.csv", "dest": "database/enterprise/company_operation_status.csv" }, { "source": "database/enterprise/company_operation_status_detail.csv", "dest": "database/enterprise/company_operation_status_detail.csv" }, { "source": "database/enterprise/company_operation_yearly_status.csv", "dest": "database/enterprise/company_operation_yearly_status.csv" }, { "source": "database/enterprise/company_profile.csv", "dest": "database/enterprise/company_profile.csv" }, { "source": "database/enterprise/company_profile_as.csv", "dest": "database/enterprise/company_profile_as.csv" }, { "source": "database/enterprise/company_profile_eu.csv", "dest": "database/enterprise/company_profile_eu.csv" }, { "source": "database/enterprise/company_profile_na.csv", "dest": "database/enterprise/company_profile_na.csv" }, { "source": "database/enterprise/company_profile_oc.csv", "dest": "database/enterprise/company_profile_oc.csv" }, { "source": "database/industry/national_industry_status.csv", "dest": "database/industry/national_industry_status.csv" }, { "source": "database/industry/national_industry_status_detail.csv", "dest": "database/industry/national_industry_status_detail.csv" }, { "source": "database/industry/national_industry_yearly_status.csv", "dest": "database/industry/national_industry_yearly_status.csv" }, { "source": "database/industry/regional_industry_status.csv", "dest": "database/industry/regional_industry_status.csv" }, { "source": "database/industry/regional_industry_status_detail.csv", "dest": "database/industry/regional_industry_status_detail.csv" }, { "source": "database/industry/regional_industry_yearly_status.csv", "dest": "database/industry/regional_industry_yearly_status.csv" }, { "source": "database/internal_metrics.csv", "dest": "database/internal_metrics.csv" }, { "source": "database/policy/policy_release_status.csv", "dest": "database/policy/policy_release_status.csv" }, { "source": "database/policy/policy_resource.csv", "dest": "database/policy/policy_resource.csv" } ] --- ## Prompt In 2022 Nationwide, is the province with the highest R&D expenditure growth rate also the province with the lowest R&D expenditure? Output guidelines: The answer must be "Yes" or "No". Output only the answer, with no additional text. If relevant data cannot be found, respond with "No relevant data found". Only use files under `./database/`. ## Expected Behavior Agent should read the provided `database/` files, compute the result, and return the final answer. The final answer must follow the required output format. ## Grading Criteria - [ ] Final answer semantically matches the gold `answer`. - [ ] Output format follows `guidelines`. ## LLM Judge Rubric ### Criterion 1: Single-answer Correctness (Weight: 100%) Gold answer JSON: `"No"` Scoring rules: - Judge semantic equivalence between the model final answer and the gold answer. - Return `scores` with one key `match` as 1 or 0. - Return `total` as 1.0 if equivalent, otherwise 0.0.