Datasets:

GTML-LAB
/

DataClaw

id: task_024_comprehensive_decision_hard_hard018
name: comprehensive_decision-hard-hard018
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/hard018.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, does Lianji Chuangji Machine Tool Company meet the basic conditions under the Several Policies on Supporting the Construction of a Strong Province of Skilled Workers? If yes, treat it as a sample firm eligible for skills training subsidies and apply the following: all R&D personnel receive individual skill improvement subsidies at the "senior technician" rate; all non-R&D employees at the "technician" rate; assume all new subsidies are used to offset that year's R&D investment. Calculate by how many basis points the adjusted R&D investment ratio is lower than the disclosed 2022 R&D investment ratio.

Output guidelines: Answer format: the number of basis points of decline. Two decimal places. Output the number only, no units 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: "43.33"

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.