Datasets:

GTML-LAB
/

DataClaw

id: task_023_comprehensive_decision_hard_hard017
name: comprehensive_decision-hard-hard017
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/hard017.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, in the chemical raw materials and chemical products manufacturing industry covered by the Implementation Plan for "Three Products" in Raw Materials Industry, Hualu Runyuan Technology Co., Ltd. plans to restore profitability through product upgrade and price increases. After implementing the "Three Products" reforms, the company can obtain two types of certain profit improvements: one from process and quality improvement, equal to 1.5% of that year's operating revenue; the other from special support and subsidies. Assuming sales volume is unchanged, price increases have no effect on costs, and the goal is to bring net profit exactly to zero, find the minimum price increase rate required based on the company's 2022 operating data and policy information.

Output guidelines: Answer format: minimum price increase rate. Four decimal places. Output the number only, no percent sign or text. If relevant data cannot be found, 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: 14.2792

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.