DataClaw / tasks /task_037_comprehensive_decision_medium_medium012.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_037_comprehensive_decision_medium_medium012
name: comprehensive_decision-medium-medium012
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/medium012.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, among all enterprises in Guangdong Province belonging to the wholesale and retail trade industry, using each enterprise's net profit margin as the comparison standard, what is the indicator value for the enterprise with the highest net profit margin? What is that enterprise's rank among all enterprises in this industry nationwide?

Output guidelines: Two answers required: first is a numeric value (2 decimal places, unit %); second is the rank number (integer, e.g. "7" means 7th place). 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: Multi-answer Correctness (Weight: 100%)

Gold answer JSON: [31.25, 7]

Scoring rules:

  • The gold answer is a list with N=2 parts.
  • Judge each predicted part against the corresponding gold part by semantic equivalence.
  • Return scores with part_0 ... part_1 each as 0 or 1.
  • Return total = (sum(part_i)) / 2 exactly.
  • If the model output is missing or cannot be parsed into 2 comparable parts, score all parts 0.