DataClaw / tasks /task_050_comprehensive_decision_medium_medium025.md
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---
id: task_050_comprehensive_decision_medium_medium025
name: comprehensive_decision-medium-medium025
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/medium025.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, is the industry with the highest R&D investment growth rate also the industry with the largest R&D investment?
Output guidelines:
The answer must be "Yes" or "No". Only output the answer, do not add any explanation. If the 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:
`"Yes"`
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.