DataClaw / tasks /task_018_comprehensive_decision_hard_hard012.md
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Release v1.0: add dataset card and unify MIT license for Hugging Face
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metadata
id: task_018_comprehensive_decision_hard_hard012
name: comprehensive_decision-hard-hard012
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/hard012.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 antitrust research team analyzed the provincial market structure of the metal smelting and rolling processing industry. To ensure statistical reliability, only provinces with operating revenue amount records and at least 5 enterprises in the industry within the jurisdiction were included. Among qualifying provinces, the Herfindahl-Hirschman Index (HHI) was used to measure market concentration in each province: calculate each enterprise's operating revenue as a share of total operating revenue of all valid enterprises in the province, sum the squares of these shares and multiply by 100% to obtain the province's HHI value. Higher HHI indicates more concentrated markets and greater monopoly risk. After identifying the province with the highest HHI, extract the province's total operating profit amount and total operating revenue amount from provincial industry summary data, and calculate the corresponding operating profit margin. What is the operating profit margin of the province with the highest HHI?

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: 4.14

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.