Repository: open-compass/opencompass
Issue: [Bug] human-eval assertion failed while testing partial data
Root cause: Validation Gap

### 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

```
/bin/sh: 1: gcc: not found
{'CUDA available': False,
 'GCC': 'n/a',
 'MMEngine': '0.10.6',
 'MUSA available': False,
 'PyTorch': '2.6.0+cu124',
 'PyTorch compiling details': 'PyTorch built with:\n'
                              '  - GCC 9.3\n'
                              '  - C++ Version: 201703\n'
                              '  - Intel(R) oneAPI Math Kernel Library Version '
                              '2024.2-Product Build 20240605 for Intel(R) 64 '
                              'architecture applications\n'
                              '  - Intel(R) MKL-DNN v3.5.3 (Git Hash '
                              '66f0cb9eb66affd2da3bf5f8d897376f04aae6af)\n'
                              '  - OpenMP 201511 (a.k.a. OpenMP 4.5)\n'
                              '  - LAPACK is enabled (usually provided by '
                              'MKL)\n'
                              '  - NNPACK is enabled\n'
                              '  - CPU capability usage: AVX512\n'
                              '  - Build settings: BLAS_INFO=mkl, '
                              'BUILD_TYPE=Release, '
                              'COMMIT_SHA=2236df1770800ffea5697b11b0bb0d910b2e59e1, '
                              'CUDA_VERSION=12.4, CUDNN_VERSION=9.1.0, '
                              'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, '
                              'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
                              '-fabi-version=11 -fvisibility-inlines-hidden '
                              '-DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO '
                              '-DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON '
                              '-DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK '
                              '-DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE '
                              '-O2 -fPIC -Wall -Wextra -Werror=return-type '
                              '-Werror=non-virtual-dtor -Werror=bool-operation '
                              '-Wnarrowing -Wno-missing-field-initializers '
                              '-Wno-type-limits -Wno-array-bounds '
                              '-Wno-unknown-pragmas -Wno-unused-parameter '
                              '-Wno-strict-overflow -Wno-strict-aliasing '
                              '-Wno-stringop-overflow -Wsuggest-override '
                              '-Wno-psabi -Wno-error=old-style-cast '
                              '-Wno-missing-braces -fdiagnostics-color=always '
                              '-faligned-new -Wno-unused-but-set-variable '
                              '-Wno-maybe-uninitialized -fno-math-errno '
                              '-fno-trapping-math -Werror=format '
                              '-Wno-stringop-overflow, LAPACK_INFO=mkl, '
                              'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, '
                              'TORCH_VERSION=2.6.0, USE_CUDA=ON, USE_CUDNN=ON, '
                              'USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, '
                              'USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, '
                              'USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, '
                              'USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, '
                              'USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n',
 'Python': '3.10.16 (main, Dec 11 2024, 16:24:50) [GCC 11.2.0]',
 'TorchVision': '0.21.0+cu124',
 'lmdeploy': "not installed:No module named 'lmdeploy'",
 'numpy_random_seed': 2147483648,
 'opencompass': '0.4.0+unknown',
 'sys.platform': 'linux',
 'transformers': '4.48.3'}

```

### 重现问题 - 代码/配置示例

config/config.py
```python
from opencompass.models import OpenAISDK

from mmengine.config import read_base

models = []
datasets = []

with read_base():

    from opencompass.configs.datasets.humaneval.humaneval_gen import humaneval_datasets

models.append(
    dict(
        path='', # model name
        openai_api_base='', 
        key='', 
        type=OpenAISDK,
        
        rpm_verbose=True, 
        query_per_second=0.16, 
        max_out_len=4096, 
        max_seq_len=4096, 
        temperature=0.01,
        batch_size=10, 
        retry=3, 
    )
)

for d in humaneval_datasets:
    d['reader_cfg']['test_range'] = '[0:1]'  # testing partial data

datasets.extend(humaneval_datasets)
```

### 重现问题 - 命令或脚本

```
python cli/main.py config/config.py
```

### 重现问题 - 错误信息

[human-eval](https://github.com/openai/human-eval) evaluation.py  line 73 `assert len(completion_id) == len(problems) `
 The assertion failed while testing partial data

### 其他信息

The current solution is annotation assertion, and hope to adapt it in the future