Repository: modelscope/evalscope
Issue: ragas评估中AnswerRelevancy返回结果为Null
Root cause: External Dependency Breakage

## 问题描述 / Issue Description

请简要描述您遇到的问题。 / Please briefly describe the issue you encountered.
使用ragas时，其中评估AnswerRelevancy指标时会
2025-05-13 10:53:06,595 - ragas.executor - ERROR - Exception raised in Job[3]: NotFoundError(404 page not found)

## EvalScope 版本 / Version (必须)
EvalScope v0.15.1
RAGAs v0.2.14

## 使用的工具 / Tools Used
RAGEval backend


## 执行的代码或指令 / Code or Commands Executed

请提供您执行的主要代码或指令。 / Please provide the main code or commands you executed. 例如 / For example:

```python
eval_task_cfg = {
    "eval_backend": "RAGEval",
    "eval_config": {
        "tool": "RAGAS",
        "eval": {
            # "testset_file": "data_base/data_wiki.json",
            "testset_file": "data.json",
            "critic_llm": {
                "model_name": "Qwen2.5:32b",
                "api_base": "http://10.10.1.97:11436/v1",
                "api_key": "qwen"
            },
            "embeddings": {
                "model_name": "dmeta-embedding-zh:latest",
                "api_base": "http://10.10.1.97:11434",
                "api_key": "shaw"
            },
            "metrics": [
                "ContextPrecision",
                "ContextRecall",
                "ContextEntityRecall",
                "AnswerRelevancy",
                "Faithfulness",
            ],
            "language": "chinese"
        },
    },
}
from evalscope.run import run_task
from evalscope.utils.logger import get_logger

logger = get_logger()

# Run task
run_task(task_cfg=eval_task_cfg)
```


## 错误日志 / Error Log

请粘贴完整的错误日志或控制台输出。 / Please paste the full error log or console output. 例如 / For example:

```
2025-05-13 10:52:43,075 - evalscope - INFO - Check `ragas` Installed
2025-05-13 10:52:52,167 - evalscope - INFO - Load existing prompts from E:\working\evalscope\evalscope\backend\rag_eval\ragas\prompts\chinese\ContextPrecision
2025-05-13 10:52:52,171 - evalscope - INFO - Load existing prompts from E:\working\evalscope\evalscope\backend\rag_eval\ragas\prompts\chinese\ContextRecall
2025-05-13 10:52:52,173 - evalscope - INFO - Load existing prompts from E:\working\evalscope\evalscope\backend\rag_eval\ragas\prompts\chinese\ContextEntityRecall
2025-05-13 10:52:52,174 - evalscope - INFO - Load existing prompts from E:\working\evalscope\evalscope\backend\rag_eval\ragas\prompts\chinese\AnswerRelevancy
2025-05-13 10:52:52,178 - evalscope - INFO - Load existing prompts from E:\working\evalscope\evalscope\backend\rag_eval\ragas\prompts\chinese\Faithfulness
2025-05-13 10:52:52,178 - evalscope - INFO - Translate prompts finished
Evaluating:  30%|███       | 3/10 [00:10<00:27,  3.92s/it]
  0%|          | 0/1 [00:00<?, ?it/s]
2025-05-13 10:53:06,595 - ragas.executor - ERROR - Exception raised in Job[3]: NotFoundError(404 page not found)
Evaluating:  80%|████████  | 8/10 [00:31<00:08,  4.06s/it]
  0%|          | 0/1 [00:00<?, ?it/s]
2025-05-13 10:53:27,015 - ragas.executor - ERROR - Exception raised in Job[8]: NotFoundError(404 page not found)
Evaluating: 100%|██████████| 10/10 [00:39<00:00,  3.98s/it]
2025-05-13 10:53:34,684 - evalscope - INFO -          user_input  ... faithfulness
0   第一届奥运会是什么时候举行的？  ...          1.0
1  哪位运动员赢得了最多的奥运金牌？  ...          1.0

[2 rows x 9 columns]
2025-05-13 10:53:34,722 - evalscope - INFO - Eval score saved to data_score.json

```

## 输出的Json
```json
[
    {
        "user_input":"第一届奥运会是什么时候举行的？",
        "retrieved_contexts":[
            "第一届现代奥运会于1896年4月6日到4月15日在希腊雅典举行。"
        ],
        "response":"第一届现代奥运会于1896年4月6日举行。",
        "reference":"第一届现代奥运会于1896年4月6日在希腊雅典开幕。",
        "context_precision":0.9999999999,
        "context_recall":1.0,
        "context_entity_recall":0.9999999975,
        "answer_relevancy":null,
        "faithfulness":1.0
    },
    {
        "user_input":"哪位运动员赢得了最多的奥运金牌？",
        "retrieved_contexts":[
            "迈克尔·菲尔普斯是历史上获得奥运金牌最多的运动员，他共赢得了23枚奥运金牌。"
        ],
        "response":"迈克尔·菲尔普斯赢得了最多的奥运金牌。",
        "reference":"迈克尔·菲尔普斯是获得奥运金牌最多的运动员，共赢得23枚金牌。",
        "context_precision":0.9999999999,
        "context_recall":1.0,
        "context_entity_recall":0.4999999975,
        "answer_relevancy":null,
        "faithfulness":1.0
    }
]
```

## 运行环境 / Runtime Environment

- 操作系统 / Operating System:
  Windows

- Python版本 / Python Version:
  3.10


## 其他信息 / Additional Information

ResponseRelevancy也是同样的问题