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Description
非常有价值的工作!我参考了公开的1000k提供的数据结构,发现与第五步骤的示例输出不一致,最后是会进行数据提取与整合吗吗?
{
"uuid": "...",
"main_question": "...",
"decomposition_trace": [...],
"env_result": {
// 合并成功的子问题使用合并后的代码
"uuid_1": {
"env_synthesis_result": {
"data": {
"code": "合并后的代码",
"tool_document": {...},
"tool_call_statement": "更新后的调用语句"
}
},
"merge_flag": true // 标记已合并
}
},
"clusters": [
{
"_uuids": ["uuid_1", "uuid_2"],
"intent_summary": "意图摘要",
"reason": "聚类原因"
}
],
"aggregated_env": [
{
"intent_summary": "意图摘要",
"_uuids": ["uuid_1", "uuid_2"],
"status": "success",
"merged_code": "合并后的工具代码",
"tool_call_statements": [
{
"_uuid": "uuid_1",
"tool_call_statement": "function_name(args1)",
"question": "子问题1",
"answer": "子问题答案1"
},
{
"_uuid": "uuid_2",
"tool_call_statement": "function_name(args2)",
"question": "子问题2",
"answer": "子问题答案2"
}
],
"verification": {
"all_tests_passed": true,
"test_results": [...],
"retry_count": 0
}
}
]
}