Datasets:

GTML-LAB
/

DataClaw

id: task_025_comprehensive_decision_hard_hard019
name: comprehensive_decision-hard-hard019
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/hard019.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

2022年，以山安泽医疗科技公司具有“微生态活菌业务”和“高温合金业务”双主业特征。某基金经理希望用以山安泽医疗科技公司与三三达腾重工公司构建一个两股票组合，来替代连机创机机床公司的增长暴露，并进一步检验该替代组合在剔除补贴后的盈利质量与研发强度溢价。若组合要求加权营业收入同比增减幅恰好等于连机创机机床公司2022年的对应指标，请基于本地数据计算：以山安泽医疗科技公司的组合权重、剔除政府奖励资金和补贴后的组合加权净利率，以及该组合研发投入占比相对连机创机机床公司高出的基点数。

Output guidelines: 答案格式为：以山安泽医疗科技公司权重,剔除补贴后的组合加权净利率,研发投入占比高出的基点数。前两项按百分比口径保留2位小数，最后一项保留2位小数。仅输出数字和逗号，不要添加单位或文字说明。如无法找到相关数据，请回答“未查询到相关数据”。

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: [38.58, 14.82, 708.28]

Scoring rules:

The gold answer is a list with N=3 parts.
Judge each predicted part against the corresponding gold part by semantic equivalence.
Return scores with part_0 ... part_2 each as 0 or 1.
Return total = (sum(part_i)) / 3 exactly.
If the model output is missing or cannot be parsed into 3 comparable parts, score all parts 0.