tasks/task_009_comprehensive_decision_hard_hard003.md

metadata

id: task_009_comprehensive_decision_hard_hard003
name: comprehensive_decision-hard-hard003
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/hard003.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, an automotive manufacturing enterprise commissioned a third-party institution to score and rate the industrial supporting capacity of each province before selecting a site for a new plant. The scoring rules are as follows: first, rank provinces in descending order by the number of government policies related to automotive manufacturing, and take the top five provinces by policy count as the candidate pool; then, within the candidate provinces, calculate the industrial supporting composite index, which is a weighted combination of three components—upstream and downstream supply chain density (weight 0.4), local labor reserve (weight 0.3), and government subsidy intensity per enterprise (weight 0.3). Supply chain density is defined as the ratio of total automotive manufacturing enterprises in the province to the national total in the industry; labor reserve is defined as the ratio of total industry employees in the province to the national total in the industry; subsidy intensity is defined as total government rewards and subsidies for automotive manufacturing in the province divided by the number of enterprises in the province (subsidy intensity must be normalized across all provinces before being used in the formula). Among the top five provinces by policy ranking, what is the composite index value of the province with the highest industrial supporting composite index?

Output guidelines: Answer format: numerical value (4 decimal places). Output only the number, without units 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: 0.3187

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.