| --- |
| id: task_021_comprehensive_decision_hard_hard015 |
| name: comprehensive_decision-hard-hard015 |
| category: comprehensive_decision |
| grading_type: llm_judge |
| timeout_seconds: 1200 |
| gold_file: qa_gold/comprehensive_decision/hard015.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, a provincial government evaluated the comprehensive financial health of real estate enterprises to decide which provinces (where the province has an effective enterprise count >= 3) should face strengthened risk supervision for real estate firms. What is the health score of the province with the lowest financial health? (Financial health = Profitability score × 0.4 + Solvency score × 0.3 + Growth capability score × 0.3; Profitability is measured by the average net profit margin of enterprises in that province, where net profit margin = net profit amount / operating revenue amount; Solvency is measured as 1 − the arithmetic mean of enterprises' asset-liability ratio in that province / 100; Growth capability is measured as the median of enterprises' year-over-year change in operating revenue in that province / 100; each indicator is min-max normalized across all valid provinces before being substituted into the formula.) |
|
|
| Output guidelines: |
| The answer should be a numerical value with 2 decimal places. Output only the number without units or text explanation. 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: |
| `0.07` |
|
|
| 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. |
|
|
|
|