Repository: open-compass/opencompass
Issue: [Bug] 找不到支持MATH-500数据集，Cannot find math-500 dataset
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

{'CUDA available': True,
 'CUDA_HOME': '/home/maoshizhuo/bin/cuda-12.1',
 'GCC': 'gcc (conda-forge gcc 9.4.0-16) 9.4.0',
 'GPU 0,1,2,3': 'Tesla V100-PCIE-32GB',
 'MMEngine': '0.10.6',
 'MUSA available': False,
 'NVCC': 'Cuda compilation tools, release 12.1, V12.1.66',
 'OpenCV': '4.11.0',
 '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'
                              '  - CUDA Runtime 12.4\n'
                              '  - NVCC architecture flags: '
                              '-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90\n'
                              '  - CuDNN 90.1\n'
                              '  - Magma 2.6.1\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': '3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]',
 'TorchVision': '0.21.0+cu124',
 'lmdeploy': "not installed:No module named 'lmdeploy'",
 'numpy_random_seed': 2147483648,
 'opencompass': '0.4.0+046b6f7',
 'sys.platform': 'linux',
 'transformers': '4.44.0'}

### Reproduces the problem - code/configuration sample

直接运行的官方仓库里的run.py，没有改动

### Reproduces the problem - command or script

python run.py --datasets math_500_gen --hf-type base --hf-path /home/maoshizhuo/2025/deepseek-Qwen-7B --debug --max-out-len 32768

### Reproduces the problem - error message

(conda) [maoshizhuo@ISPC-GPU2-CS opencompass]$   python tools/list_configs.py math_500
+--------------+---------------------------------------------------+
| Dataset      | Config Path                                       |
|--------------+---------------------------------------------------|
| math_500_gen | opencompass/configs/datasets/math/math_500_gen.py |
+--------------+---------------------------------------------------+
(conda) [maoshizhuo@ISPC-GPU2-CS opencompass]$  python run.py --datasets math_500_gen --hf-type base --hf-path /home/maoshizhuo/2025/deepseek-Qwen-7B --debug --max-out-len 32768
02/24 19:53:46 - OpenCompass - INFO - Loading math_500_gen: /home/maoshizhuo/2025/GPassK/opencompass/opencompass/configs/./datasets/math/math_500_gen.py
02/24 19:53:46 - OpenCompass - INFO - Loading example: /home/maoshizhuo/2025/GPassK/opencompass/opencompass/configs/./summarizers/example.py
02/24 19:53:46 - OpenCompass - INFO - Current exp folder: outputs/default/20250224_195346
02/24 19:53:46 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
Traceback (most recent call last):
  File "/home/maoshizhuo/2025/GPassK/opencompass/run.py", line 4, in <module>
    main()
  File "/home/maoshizhuo/2025/GPassK/opencompass/opencompass/cli/main.py", line 299, in main
    tasks = partitioner(cfg)
  File "/home/maoshizhuo/2025/GPassK/opencompass/opencompass/partitioners/base.py", line 83, in __call__
    tasks = self.partition(**model_and_dataset_args,
  File "/home/maoshizhuo/2025/GPassK/opencompass/opencompass/partitioners/num_worker.py", line 69, in partition
    dataset_size = self.get_size(dataset)
  File "/home/maoshizhuo/2025/GPassK/opencompass/opencompass/partitioners/num_worker.py", line 141, in get_size
    dataset = build_dataset_from_cfg(dataset)
  File "/home/maoshizhuo/2025/GPassK/opencompass/opencompass/utils/build.py", line 13, in build_dataset_from_cfg
    return LOAD_DATASET.build(dataset_cfg)
  File "/home/maoshizhuo/anaconda3/envs/smoothquantpre/lib/python3.10/site-packages/mmengine/registry/registry.py", line 570, in build
    return self.build_func(cfg, *args, **kwargs, registry=self)
  File "/home/maoshizhuo/anaconda3/envs/smoothquantpre/lib/python3.10/site-packages/mmengine/registry/build_functions.py", line 123, in build_from_cfg
    obj = obj_cls(**args)  # type: ignore
  File "/home/maoshizhuo/2025/GPassK/opencompass/opencompass/datasets/base.py", line 12, in __init__
    self.dataset = self.load(**kwargs)
  File "/home/maoshizhuo/2025/GPassK/opencompass/opencompass/datasets/custom.py", line 173, in load
    with open(path, 'r', encoding='utf-8-sig') as f:
FileNotFoundError: [Errno 2] No such file or directory: './data/math/test_prm800k_500.jsonl'


### Other information

文档里说了支持MATH-500数据集，并且我使用python tools/list_configs.py math_500也可以找到math_500_gen，为什么评估的时候就是找不到该数据集呢？其他的math数据集不知道是不是官方拿来评估的MATH-500数据集

![Image](https://github.com/user-attachments/assets/af2e81e0-8097-470c-beaf-91aedb9c6831)
It's working on my side. Try to pull the latest code and try again?

> ![Image](https://github.com/user-attachments/assets/af2e81e0-8097-470c-beaf-91aedb9c6831) It's working on my side. Try to pull the latest code and try again?

非常感谢！ it works!
我对pull requests不熟悉，不知道怎么把你在pull request提交的分支clone下来，但我注意到你的截图的分支名，我使用git clone -b math_doc_update_0224 --single-branch https://github.com/MaiziXiao/opencompass.git     下载了你使用的版本，然后成功了，感谢您！

Feel free to re-open if needed.