DataClaw / tasks /task_036_comprehensive_decision_medium_medium011.md
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---
id: task_036_comprehensive_decision_medium_medium011
name: comprehensive_decision-medium-medium011
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/medium011.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 the rubber and plastic products industry with R&D investment records, what is the R&D concentration CR5?
Output guidelines:
The answer should be a numerical value (rounded to 2 decimal places), in units of %. 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:
`34.66`
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.