zhiminy/EvalEng huggingface dataset:
Repository: open-compass/opencompass
Issue: [Bug] How to evaluate infer results of multipl_e?
Root cause: External Dependency Breakage

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

from gradio_client import Client

### Reproduces the problem - code/configuration sample

### Default Configuration

* **IP Address**: The default IP address for the evaluation service is set to `'https://opencompass-multiple-evaluator.hf.space'`.
* **Retries**: The default number of retries is set to `5`.

### Reproduces the problem - command or script

when you use the config of multiple_top_ten_gen_f44aaf.py

### Reproduces the problem - error message

```
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
```

### Other information


# Issue: JSONDecodeError when evaluating results with `CodeEvaluator`

## Problem

When trying to evaluate the results of multiple `CodeEvaluator` instances, an error occurs when setting up the client:

```python
self.client = Client(ip_address)
````

This raises the following exception:

```
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
```

### Background

The `CodeEvaluator` class is used for evaluating code generation tasks by sending code to a remote evaluation service. It handles code extraction, processing, and result analysis. Here's the relevant code snippet from the `CodeEvaluator` class:

```python
class CodeEvaluator(BaseEvaluator):
    """Evaluator for code generation tasks.

    This evaluator sends code to a remote evaluation service to test its
    functionality against provided test cases. It handles code extraction,
    processing, and result analysis.
    """

    def __init__(self,
                 language: str = 'py',
                 ip_address: str = 'localhost',
                 retry: int = 5) -> None:
        """Initialize the CodeEvaluator.

        Args:
            language (str): Programming language of the code to evaluate.
            ip_address (str, optional): IP address of the evaluation service. Defaults to 'localhost'.
            retry (int, optional): Number of retry attempts for failed connections. Defaults to 3.
        """
        self.language = language
        self.retry = retry

        self.client = Client(ip_address)
```

### Default Configuration

* **IP Address**: The default IP address for the evaluation service is set to `'https://opencompass-multiple-evaluator.hf.space'`.
* **Retries**: The default number of retries is set to `5`.

### Issue Details

Upon execution of `self.client = Client(ip_address)`, the following error is encountered:

```plaintext
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
```

And I find no other way to evaluate my results of multipl_e in opencompass.
Repository: open-compass/opencompass
Issue: How to specify the saving path of output directory
Root cause: Documentation Deficiency

### Describe the feature

✔ I've checked issues and discussions.

I want to ask whether opencompass accepts a config parameter that specifies the output directory where prediction, logs and summary are stored.

### Will you implement it?

- [ ] I would like to implement this feature and create a PR!

plz use `--work-dir` or `-w` .
Repository: open-compass/opencompass
Issue: [Feature] Addition of BioML-Bench
Root cause: Unimplemented Feature Gap

### Describe the feature

An interesting new bio benchmark that might be worth adding:

https://github.com/science-machine/biomlbench

### Will you implement it?

- [ ] I would like to implement this feature and create a PR!

Thanks for your suggestion, welcome to contribute this dataset to our codebase
Repository: open-compass/opencompass
Issue: [Bug] ModuleNotFoundError: No module named 'rapidfuzz'
Root cause: Environment Incompatibility

### Prerequisite

- [X] I have searched [Issues](https://github.com/InternLM/opencompass/issues/) and [Discussions](https://github.com/InternLM/opencompass/discussions) but cannot get the expected help.
- [X] The bug has not been fixed in the [latest version](https://github.com/InternLM/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

when run under Quick Start

python run.py configs/eval_demo.py -w outputs/demo --debug

### Reproduces the problem - code/configuration sample

when run under Quick Start

python run.py configs/eval_demo.py -w outputs/demo --debug

### Reproduces the problem - command or script

when run under Quick Start

python run.py configs/eval_demo.py -w outputs/demo --debug

### Reproduces the problem - error message

when run under Quick Start

python run.py configs/eval_demo.py -w outputs/demo --debug

### Other information

_No response_

Hi, you can run `pip install rapidfuzz` to install the missing dependency.
Repository: open-compass/opencompass
Issue: [Bug] 安装失败
Root cause: External Dependency Breakage

### 先决条件

- [x] 我已经搜索过 [问题](https://github.com/open-compass/opencompass/issues/) 和 [讨论](https://github.com/open-compass/opencompass/discussions) 但未得到预期的帮助。
- [x] 错误在 [最新版本](https://github.com/open-compass/opencompass) 中尚未被修复。

### 问题类型

我正在使用官方支持的任务/模型/数据集进行评估。

### 环境

python 3.12

### 重现问题 - 代码/配置示例

<img width="571" height="358" alt="Image" src="https://github.com/user-attachments/assets/85d59cba-d140-4605-abd1-a0cdb98dc7de" />

`
pandas-1.5.3.tar.gz (5.2 MB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: prettytable in /data2/juzheng/miniconda3/envs/qwen3/lib/python3.12/site-packages (from opencompass==0.5.1) (3.16.0)
Requirement already satisfied: protobuf in /data2/juzheng/miniconda3/envs/qwen3/lib/python3.12/site-packages (from opencompass==0.5.1) (6.33.0)
Collecting pyext (from opencompass==0.5.1)
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b0/be/9b6005ac644aaef022527ce49617263379e49dbdbd433d1d3dd66d71f570/pyext-0.7.tar.gz (7.8 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [13 lines of output]
      /tmp/pip-install-34ssa1i_/pyext_665b8a6dc27d437bbc4d75231d9a6cdd/pyext.py:256: SyntaxWarning: invalid escape sequence '\*'
        :param \*\*d: All the keyword args, mapped from name->value.
      /tmp/pip-install-34ssa1i_/pyext_665b8a6dc27d437bbc4d75231d9a6cdd/pyext.py:390: SyntaxWarning: invalid escape sequence '\*'
        :param \*args: The first positional argument is used for the function's return value; all others are discarded.
      Traceback (most recent call last):
        File "<string>", line 2, in <module>
        File "<pip-setuptools-caller>", line 35, in <module>
        File "/tmp/pip-install-34ssa1i_/pyext_665b8a6dc27d437bbc4d75231d9a6cdd/setup.py", line 6, in <module>
          import pyext
        File "/tmp/pip-install-34ssa1i_/pyext_665b8a6dc27d437bbc4d75231d9a6cdd/pyext.py", line 117, in <module>
          oargspec = inspect.getargspec
                     ^^^^^^^^^^^^^^^^^^
      AttributeError: module 'inspect' has no attribute 'getargspec'. Did you mean: 'getargs'?
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
`

### 重现问题 - 命令或脚本

pip install opencompass


### 其他信息

貌似python 3.12不能安装成功

那就退python版本呗，我是3.10


`pip install opencompass==0.5.1 #  it default install 0.3.0, it is wrong, i don't why, `

replicated with https://github.com/open-compass/opencompass/pull/1985
Repository: open-compass/opencompass
Issue: [Feature] 是否可以有完整评测结果后，对评测结果调用 summarizer 进行一些总结
Root cause: Documentation Deficiency

### Describe the feature

场景是我对一个模型评测完了 mmlu_pro 但是忘记加 summerizer 了，现在已经获得了 mmlu pro 各个子类的评测结果，能不能调用内置的 summarizer 手动计算整个数据集的平均值？

### Will you implement it?

- [ ] I would like to implement this feature and create a PR!

Please add `-m viz` in your run command.

抱歉我刚发现了
Repository: open-compass/opencompass
Issue: InternLM-7B base model results?
Root cause: Unimplemented Feature Gap

### Describe the feature

Hi OpenCompass team, thank you for this excellent project. I see the results for `InternLM-Chat-7B` reported in the [OpenCompass leaderboard](https://opencompass.org.cn/rank), but I don't see any results for the base model `InternLM-7B`. Would you be willing to share those numbers as well? 

I think it would be very useful to the community to understand how much of the performance comes from the base model vs. the chat finetuning.

### Will you implement it?

- [ ] I would like to implement this feature and create a PR!

Thanks for the suggestons, we will update the leaderboard soon(not only the InternLM-7B, but also more big models.)

That sounds great, thank you!
Repository: open-compass/opencompass
Issue: [Feature] livecodebench如何指定版本
Root cause: Documentation Deficiency

### Describe the feature

如题，怎么指定livecodebench 为v5

### Will you implement it?

- [ ] I would like to implement this feature and create a PR!

you can change any livecodebench dataset config file like this:
opencompass/configs/datasets/livecodebench/livecodebench_time_split_gen_a4f90b.py
```
LCBCodeGeneration_dataset = dict(
    type=LCBCodeGenerationDataset,
    abbr='lcb_code_generation',
    path='opencompass/code_generation_lite',
    reader_cfg=lcb_code_generation_reader_cfg,
    infer_cfg=lcb_code_generation_infer_cfg,
    eval_cfg=lcb_code_generation_eval_cfg,
    release_version='release_v5', # **Specify version as you like**
)
```
Repository: open-compass/opencompass
Issue: [Bug] 向medbench上传自测数据集失败
Root cause: Documentation Deficiency

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

Not applicable

### Reproduces the problem - code/configuration sample

Not applicable

### Reproduces the problem - command or script

在我提交自己的数据集失败后。我将medbench官方提供的自测数据集下载后，打包成MedBench_LLM.zip压缩包上传（将原始数据集上传），显示失败。看了提交文件指引：
```
MedBench大语言模型评测数据样例介绍

每条数据样例包含如下字段：

question: 问题
options: 选择题的选项，非选择题则为null
answer: 答案，默认为null
other: 数据编号和来源信息
```

发现官方提供的数据集中，所有文件并无option字段，但是指引中要求了option字段，是否是此处的差异导致上传失败的呢？

### Reproduces the problem - error message

Not applicable

### Other information

None
Repository: open-compass/opencompass
Issue: [Bug] How to download from hf not oss
Root cause: Configuration Error

How to evaluate from opencompass/AIME2025 not aliyun ?  cannot download from aliyun. 

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

```
{'CUDA available': True,
 'CUDA_HOME': '/usr/local/cuda',
 'GCC': 'gcc (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0',
 'GPU 0,1,2,3,4,5,6,7': 'NVIDIA H100 NVL',
 'MMEngine': '0.10.7',
 'MUSA available': False,
 'NVCC': 'Cuda compilation tools, release 12.4, V12.4.99',
 'OpenCV': '4.11.0',
 'PyTorch': '2.8.0+cu128',
 'Python': '3.11.14 | packaged by conda-forge | (main, Oct 22 2025, 22:46:25) '
           '[GCC 14.3.0]',
 'TorchVision': '0.23.0+cu128',
 'lmdeploy': '0.10.2',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.5.1+9dd57d3',
 'sys.platform': 'linux',
 'transformers': '4.57.3'}
```

### Reproduces the problem - code/configuration sample

na

### Reproduces the problem - command or script

```bash
python eval/eval.py JetLM/SDAR-4B-Chat     --mode all     --api-server http://127.0.0.1:10000     --judger-server http://127.0.0.1:20000     -w ./oc_output
```

### Reproduces the problem - error message

  File "/home/user1/miniconda3/envs/lmdeploy/lib/python3.11/urllib/request.py", line 1351, in do_open
    raise URLError(err)
urllib.error.URLError: <urlopen error [Errno 110] Connection timed out>

### Other information

_No response_
Repository: open-compass/opencompass
Issue: [Bug] aime2025_llmjudge_academic.py not found!
Root cause: Environment Incompatibility

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

```
{'CUDA available': True,
 'CUDA_HOME': '/usr/local/cuda',
 'GCC': 'gcc (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0',
 'GPU 0,1,2,3,4,5,6,7': 'NVIDIA H100 NVL',
 'MMEngine': '0.10.7',
 'MUSA available': False,
 'NVCC': 'Cuda compilation tools, release 12.4, V12.4.99',
 'OpenCV': '4.11.0',
 'PyTorch': '2.8.0+cu128',
 'Python': '3.11.14 | packaged by conda-forge | (main, Oct 22 2025, 22:46:25) '
           '[GCC 14.3.0]',
 'TorchVision': '0.23.0+cu128',
 'lmdeploy': '0.10.2',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.5.1+f802cfa',
 'sys.platform': 'linux',
 'transformers': '4.57.3'}

### Reproduces the problem - command or script

It cannot  find the opencompass installed with editable. It still try to find site packages.
```
#!/bin/bash
export CUDA_VISIBLE_DEVICES=5
python eval/eval.py JetLM/SDAR-4B-Chat \
    --mode all \
    --api-server http://127.0.0.1:10000 \
    --judger-server http://127.0.0.1:20000 \
    -w ./oc_outp
```

### Reproduces the problem - error message

I install by  `pip install -e . `
But still shows 
```
lmdeploy/lib/python3.11/site-packages/mmengine/config/config.py", line 1074, in _parse_lazy_import
    raise ConfigParsingError(
mmengine.config.utils.ConfigParsingError: /home/user1/miniconda3/envs/lmdeploy/lib/python3.11/site-packages/opencompass/configs/datasets/aime2025/aime2025_llmjudge_academic.py not found! It means that incorrect module is defined in `with read_base(): = from opencompass.configs.datasets.aime2025.aime2025_llmjudge_academic import ...`, please make sure the base config module is valid and is consistent with the prior import logic
```

### Other information

_No response_

https://opencompass.readthedocs.io/en/latest/advanced_guides/evaluation_lmdeploy.html 

`python run.py configs/eval_internlm2_lmdeploy.py -w outputs  `
mmengine.config.utils.ConfigParsingError: /home/user1/miniconda3/envs/ocom/lib/python3.11/site-packages/opencompass/configs/datasets/ARC_c/ARC_c_gen_1e0de5.py not found! It means that incorrect module is defined in `with read_base(): = from opencompass.configs.datasets.ARC_c.ARC_c_gen_1e0de5 import ...`, please make sure the base config module is valid and is consistent with the prior import logic 

I think we have to  `pip install "opencompass[lmdeploy]"`   in sitepackage.  `pip install -e .` always have this error
Repository: open-compass/opencompass
Issue: [Bug] MedBench模型答案上传文件报错
Root cause: Validation Gap

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

Not applicable



### Reproduces the problem - code/configuration sample

Not applicable



### Reproduces the problem - command or script

在官网下载评测集后，上传本地评测的结果，提示“上传文件不符合规范”，但是和要求里比对后没有发现问题，请问怎么查看原因。

<img width="2024" height="1470" alt="Image" src="https://github.com/user-attachments/assets/231a24ee-1668-4804-b3db-a4aa35013eb2" />

### Reproduces the problem - error message

“上传文件不符合规范”

### Other information

_No response_
Repository: open-compass/opencompass
Issue: [Bug] 关于评测集社区-daily benchmark模块AI解读的问题

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

暂无

### Reproduces the problem - code/configuration sample

暂无

### Reproduces the problem - command or script

暂无

### Reproduces the problem - error message

暂无

### Other information

最近，关注到了司南官网添加了daily benchmark这个模块，帮助非常大。但是在看当中的AI解读的时候，发现一些幻觉现象。
比如，10月30日的Automating Benchmark Design的一文中，AI解读道 “成本黑洞：构建新基准需要数百专家月的人力投入（如MMLU耗资超200万美元）“，发现原文并没有提及MMLU的构建成本，不知道出处何来，还是说这个是大模型的幻觉导致
Repository: open-compass/opencompass
Issue: race的评测分数异常[Bug] 
Root cause: Configuration Error

### 先决条件

- [X] 我已经搜索过 [问题](https://github.com/InternLM/opencompass/issues/) 和 [讨论](https://github.com/InternLM/opencompass/discussions) 但未得到预期的帮助。
- [X] 错误在 [最新版本](https://github.com/InternLM/opencompass) 中尚未被修复。

### 问题类型

我正在使用官方支持的任务/模型/数据集进行评估。

### 环境

同官方

### 重现问题 - 代码/配置示例

同官方

### 重现问题 - 命令或脚本

同官方

### 重现问题 - 错误信息

同官方

### 其他信息

由于race官网数据集是一个文本对应多个问题，而race的数据处理是按照一个文本一个问题来的，我首先将数据文件分开成一个文本一个问题的格式；同时使用了官方的prompt进行评测，但是chatglm2的分数会低10个点，而在其他数据集上的表现和opencompass榜单都能对齐，请问这是什么原因？

Please try this config:
https://github.com/InternLM/opencompass/blob/c6a349499379ce3f7fc38e5ab17922c86ae57f6b/configs/datasets/race/race_ppl_5831a0.py

I download race dataset from this link:http://www.cs.cmu.edu/~glai1/data/race/ . Is it correct?

Yes, it is correct. 

The dataset used in our implement comes from huggingface: https://huggingface.co/datasets/race/. I took a quick view and found these two sources be the same.

Feel free to re-open if needed.
Repository: open-compass/opencompass
Issue: 期望开通slack方便大家交流分享合作

### 描述该功能

感谢你们的工作，Opencompass是一个功能强大的测评工具，极大地方便了我们对大模型的精度评估。我们希望可以加加入进来一起开发交流。目前通过issue的沟通方式效率低下，可以开通下slack方便大家交流分享吗

### 是否希望自己实现该功能？

- [ ] 我希望自己来实现这一功能，并向 OpenCompass 贡献代码！

支持！有地方讨论使用心得对项目本身也有帮助
Repository: open-compass/opencompass
Issue: [Feature] 使用飞书/QQ群来进行交流

### 描述该功能

感谢opencompass的贡献为我的工作带来的便利
现在沟通效率低下，微信群通过二维码进群人数限制过大。微信群二维码过期，微信入群没有审核机制。
discord现在的情况也不够活跃。期望可以开通QQ群/飞书群进行更好地交流。
和 #2341 类似

### 是否希望自己实现该功能？

- [x] 我希望自己来实现这一功能，并向 OpenCompass 贡献代码！
Repository: open-compass/opencompass
Issue: [Bug] mmbench 文档不可访问

### 先决条件

- [x] 我已经搜索过 [问题](https://github.com/open-compass/opencompass/issues/) 和 [讨论](https://github.com/open-compass/opencompass/discussions) 但未得到预期的帮助。
- [x] 错误在 [最新版本](https://github.com/open-compass/opencompass) 中尚未被修复。

### 问题类型

我正在使用官方支持的任务/模型/数据集进行评估。

### 环境

关于mmbench的文档 https://mmbench.opencompass.org.cn/docs 目前是处于404的状态，并且被引导到了 https://opencompass.readthedocs.io/zh-cn/latest/index.html
期望可以引导到 https://github.com/open-compass/VLMEvalKit/tree/main

微信群二维码过期了，因此只能在issue中提出

### 重现问题 - 代码/配置示例

无

### 重现问题 - 命令或脚本

访问
https://mmbench.opencompass.org.cn/docs 

### 重现问题 - 错误信息

<img width="1918" height="1080" alt="Image" src="https://github.com/user-attachments/assets/080ab4be-fefa-42dd-a40c-a2d4757e7df8" />
Page Not Found

The page you are looking for cannot be found.

If you just switched documentation versions, it is likely that the page you were on is moved. You can look for it in the content table left, or go to [the homepage](https://opencompass.readthedocs.io/zh-cn/latest/index.html).

© Copyright 2023, OpenCompass.
Built with [Sphinx](http://sphinx-doc.org/) using a [theme](https://github.com/rtfd/sphinx_rtd_theme) provided by [Read the Docs](https://readthedocs.org/).

### 其他信息

homepage设置的链接不正确，或许需要对特定的404给特定的模板
Repository: open-compass/opencompass
Issue: [Bug] GPQA score low with thinking enable
Root cause: Algorithmic Error

### Prerequisite

- [x] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [x] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### Type

I'm evaluating with the officially supported tasks/models/datasets.

### Environment

env:                     H20
inference:           sglang.v0.5.6
model:                Deepseek V3.2
opencompass:  0.5.1.post1

### Reproduces the problem - code/configuration sample

None

### Reproduces the problem - command or script

python3 run.py --models my_api.py --datasets gpqa_gen.py --debug
| dataset | version | metric | mode | opencompass.models.OpenAISDK_opencompass-0.5.1.post1_Deepseek_V32 |
|----- | ----- | ----- | ----- | -----|
| GPQA_diamond | 5aeece | accuracy | gen | 79.29 |

python3 run.py --models my_think_api.py --datasets gpqa_gen.py --debug
| dataset | version | metric | mode | opencompass.models.OpenAISDK_opencompass-0.5.1.post1_Deepseek_V32 |
|----- | ----- | ----- | ----- | -----|
| GPQA_diamond | 5aeece | accuracy | gen | 76.26 |

For the result of thinking, after manual review, the score should be 85.85 ；
I checked the evaluation in gpqa.py and found that the regular expression is unreasonable in some scenarios: it should take the last result, but instead it takes the first matched one.

![Image](https://github.com/user-attachments/assets/85bad6de-11be-4b04-af5f-a5e9037ee88f)

For example, "I'll answer: ANSWER: C" will return A instead of C.

[20251210_161518_h20_gpqa.tar.gz](https://github.com/user-attachments/files/24097795/20251210_161518_h20_gpqa.tar.gz)
[20251210_211428_h20_gpqa_thinking_32k.tar.gz](https://github.com/user-attachments/files/24097796/20251210_211428_h20_gpqa_thinking_32k.tar.gz)

### Reproduces the problem - error message

None

### Other information

_No response_
Repository: open-compass/opencompass
Issue: [Bug] 提交mmbench test测评，提示没有answer列
Root cause: Documentation Deficiency

### 先决条件

- [X] 我已经搜索过 [问题](https://github.com/InternLM/opencompass/issues/) 和 [讨论](https://github.com/InternLM/opencompass/discussions) 但未得到预期的帮助。
- [X] 错误在 [最新版本](https://github.com/InternLM/opencompass) 中尚未被修复。

### 问题类型

我正在使用官方支持的任务/模型/数据集进行评估。

### 环境

地址：https://opencompass.org.cn/mmbench-submission

### 重现问题 - 代码/配置示例

使用opencompass框架，使用mmbench test数据集，输出xlsx文件，包含字段：index, question, A, B, C, D, prediction, category, l2-category。

### 重现问题 - 命令或脚本

将opencompass框架输出的xlsx文件，上传到上述地址测评。

### 重现问题 - 错误信息

提示如下信息：
Your excel file should have a column named `answer`, please double check and submit again

### 其他信息

_No response_

Hi, @jodie2235337 , you can first try `Ctrl + F5` to refresh the page and then submit again. This problem has been reported but we have solved it long time ago. 

Add a blank column named 'answer', it is also works. Thanks.