--- id: task_013_comprehensive_decision_hard_hard007 name: comprehensive_decision-hard-hard007 category: comprehensive_decision grading_type: llm_judge timeout_seconds: 1200 gold_file: qa_gold/comprehensive_decision/hard007.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, when a research institution was reviewing the implementation effectiveness of provincial industrial policies in the food and beverage industry, it found that although some provinces had issued many support policies, the profitability of enterprises within their jurisdictions was not ideal. To identify such "policy-heavy, low-return" provinces, the institution planned to analyze separately those provinces with a relatively large number of policies (including national-level policies, totaling 3 or more): sum the operating profit amounts of all food and beverage industry enterprises in these provinces and divide by the sum of operating revenue amounts to obtain the comprehensive operating profit margin for each province, then identify the province with the lowest profit margin. What is the profit margin value (as a percentage, rounded to two decimal places) for the province with the lowest comprehensive operating profit margin? Output guidelines: The answer should be a percentage value with 2 decimal places. Output only the number, without the % symbol or text. If relevant data cannot be found, please answer "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: `0.59` 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.