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Copy pathtrain_baseline.evalset.json
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100 lines (100 loc) · 3.01 KB
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{
"eval_set_id": "train_baseline",
"name": "Training set - baseline traces",
"description": "3 training cases with baseline prompt traces. Contains: optimizable, always-fail, and regression cases.",
"eval_cases": [
{
"eval_id": "case_train_optimizable",
"eval_mode": "trace",
"conversation": [
{
"invocation_id": "t1",
"user_content": {
"parts": [{"text": "小明有 5 个苹果,小红给了他 7 个苹果,小明现在一共有多少个苹果?"}],
"role": "user"
},
"final_response": {
"parts": [{"text": "答案:12 个"}],
"role": "model"
}
}
],
"actual_conversation": [
{
"invocation_id": "t1",
"user_content": {
"parts": [{"text": "小明有 5 个苹果,小红给了他 7 个苹果,小明现在一共有多少个苹果?"}],
"role": "user"
},
"final_response": {
"parts": [{"text": "答案:13 个"}],
"role": "model"
}
}
],
"session_input": {"app_name": "eval_opt_loop", "user_id": "trainer", "state": {}}
},
{
"eval_id": "case_train_always_fail",
"eval_mode": "trace",
"conversation": [
{
"invocation_id": "t2",
"user_content": {
"parts": [{"text": "一辆车开了 60 公里每小时,开了 2 小时,一共开了多少公里?"}],
"role": "user"
},
"final_response": {
"parts": [{"text": "答案:120 公里"}],
"role": "model"
}
}
],
"actual_conversation": [
{
"invocation_id": "t2",
"user_content": {
"parts": [{"text": "一辆车开了 60 公里每小时,开了 2 小时,一共开了多少公里?"}],
"role": "user"
},
"final_response": {
"parts": [{"text": "120 公里"}],
"role": "model"
}
}
],
"session_input": {"app_name": "eval_opt_loop", "user_id": "trainer", "state": {}}
},
{
"eval_id": "case_train_regression",
"eval_mode": "trace",
"conversation": [
{
"invocation_id": "t3",
"user_content": {
"parts": [{"text": "5 排座位,每排 8 个,一共多少个?"}],
"role": "user"
},
"final_response": {
"parts": [{"text": "答案:40 个"}],
"role": "model"
}
}
],
"actual_conversation": [
{
"invocation_id": "t3",
"user_content": {
"parts": [{"text": "5 排座位,每排 8 个,一共多少个?"}],
"role": "user"
},
"final_response": {
"parts": [{"text": "答案:40 个"}],
"role": "model"
}
}
],
"session_input": {"app_name": "eval_opt_loop", "user_id": "trainer", "state": {}}
}
]
}