[Bug] 不支持flores200数据集评测

[Liukairong2023]

先决条件

• 我已经搜索过 问题 和 讨论 但未得到预期的帮助。
• 错误在 最新版本 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

{'CUDA available': True,
'CUDA_HOME': '/usr/local/cuda',
'GCC': 'gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)',
'GPU 0,1,2,3': 'NVIDIA GeForce RTX 3090',
'MMEngine': '0.10.3',
'MUSA available': False,
'NVCC': 'Cuda compilation tools, release 11.0, V11.0.194',
'OpenCV': '4.9.0',
'PyTorch': '2.0.0+cu117',
'PyTorch compiling details': 'PyTorch built with:\n'
' - GCC 9.3\n'
' - C++ Version: 201703\n'
' - Intel(R) oneAPI Math Kernel Library Version '
'2021.4-Product Build 20210904 for Intel(R) 64 '
'architecture applications\n'
' - Intel(R) MKL-DNN v2.7.3 (Git Hash '
'6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e)\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: AVX2\n'
' - CUDA Runtime 11.7\n'
' - NVCC architecture flags: '
'-gencode;arch=compute_37,code=sm_37;-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\n'
' - CuDNN 8.5\n'
' - Magma 2.6.1\n'
' - Build settings: BLAS_INFO=mkl, '
'BUILD_TYPE=Release, CUDA_VERSION=11.7, '
'CUDNN_VERSION=8.5.0, '
'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, '
'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
'-fabi-version=11 -Wno-deprecated '
'-fvisibility-inlines-hidden -DUSE_PTHREADPOOL '
'-DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER '
'-DUSE_FBGEMM -DUSE_QNNPACK '
'-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 -Wunused-local-typedefs '
'-Wno-unused-parameter -Wno-unused-function '
'-Wno-unused-result -Wno-strict-overflow '
'-Wno-strict-aliasing '
'-Wno-error=deprecated-declarations '
'-Wno-stringop-overflow -Wno-psabi '
'-Wno-error=pedantic -Wno-error=redundant-decls '
'-Wno-error=old-style-cast '
'-fdiagnostics-color=always -faligned-new '
'-Wno-unused-but-set-variable '
'-Wno-maybe-uninitialized -fno-math-errno '
'-fno-trapping-math -Werror=format '
'-Werror=cast-function-type '
'-Wno-stringop-overflow, LAPACK_INFO=mkl, '
'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, '
'PERF_WITH_AVX512=1, '
'TORCH_DISABLE_GPU_ASSERTS=ON, '
'TORCH_VERSION=2.0.0, USE_CUDA=ON, USE_CUDNN=ON, '
'USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, '
'USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, '
'USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, '
'USE_OPENMP=ON, USE_ROCM=OFF, \n',
'Python': '3.8.18 | packaged by conda-forge | (default, Dec 23 2023, '
'17:21:28) [GCC 12.3.0]',
'numpy_random_seed': 2147483648,
'opencompass': '0.2.4+004ed79',
'sys.platform': 'linux'}

重现问题 - 代码/配置示例

python tools/list_configs.py llama3 flores

重现问题 - 命令或脚本

查看当前服务器opencompass支持的llama3 flores200的模型和数据集

重现问题 - 错误信息

其他信息

opencompass的完整数据集里面有flores200数据集，服务器环境已经配置好，但是使用python tools/list_configs.py llama3 flores无法查看支持的flores200数据集

[Leymore]

Please try flores_gen_806ede

[Liukairong2023]

请尝试flores_gen_806ede
First of all, thank you for your reply. What are the differences between the following three flores data sets：

flores_gen
lores_gen_806ede
flores_gen_aad4fd

[Liukairong2023]

请尝试flores_gen_806ede

请问为什么我使用flores200测评，也就是您说的flores_gen_806ede

数据集，为什么在测评的过程中显示的是flores100，如图所示

[liushz]

Apologies for the confusion. We are currently utilizing the flores200 dataset; however, the configuration flores_gen_806ede mistakenly employs the prompt for flores100. We will address and rectify this issue promptly.