[Bug] commonsenseqa_gen_c946f2中的commonsenseqa_datasets数据集报错 TypeError: 'ListWrapper' object is not iterable

[hanbaoergogo]

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-12.1',
'GCC': 'gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0',
'GPU 0,1,2,3,4,5': 'NVIDIA RTX A6000',
'MMEngine': '0.10.5',
'MUSA available': False,
'NVCC': 'Cuda compilation tools, release 12.1, V12.1.66',
'OpenCV': '4.10.0',
'PyTorch': '2.5.1+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, 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=2.5.1, 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 | packaged by conda-forge | (main, Dec 5 2024, 14:16:10) '
'[GCC 13.3.0]',
'TorchVision': '0.20.1+cu124',
'lmdeploy': "not installed:No module named 'lmdeploy'",
'numpy_random_seed': 2147483648,
'opencompass': '0.3.5+4653f69',
'sys.platform': 'linux',
'transformers': '4.47.0'}

重现问题 - 代码/配置示例

with read_base():
from opencompass.configs.datasets.commonsenseqa.commonsenseqa_gen_c946f2 import commonsenseqa_datasets

# Reading Comprehension (BoolQ)
from opencompass.configs.datasets.SuperGLUE_BoolQ.SuperGLUE_BoolQ_gen_883d50 import BoolQ_datasets
# from opencompass.configs.datasets.squad20.squad20_gen import squad20_datasets

# Summarizer
from opencompass.configs.summarizers.example import summarizer

llama_instruct_ms_front_french_bias_model = [
dict(
type=HuggingFacewithChatTemplate,
abbr='llama_instruct_ms_front_french_bias_model',
path='/mnt/data1/LLMs/temp_lingual_llamaitlora_singleadvtrain/meaningful_sentence_french_bias_250_1e-05_front-500',
max_out_len=1024,
batch_size=8,
run_cfg=dict(num_gpus=1),
stop_words=['<|end_of_text|>', '<|eot_id|>'],
)
]

重现问题 - 命令或脚本

opencompass /home/wangzihan/opencompass/opencompass/llamait/llamait_meaningfulsentence.py

重现问题 - 错误信息

/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/init.py:19: UserWarning: Starting from v0.4.0, all AMOTIC configuration files currently located in ./configs/datasets, ./configs/models, and ./configs/summarizers will be migrated to the opencompass/configs/ package. Please update your configuration file paths accordingly.
_warn_about_config_migration()
12/14 14:13:13 - OpenCompass - INFO - Task [llama_instruct_ms_front_french_bias_model/commonsense_qa,llama_instruct_ms_front_french_bias_model/siqa,llama_instruct_ms_front_french_bias_model/BoolQ]

Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards: 25%|██▌ | 1/4 [00:41<02:03, 41.33s/it]
Loading checkpoint shards: 50%|█████ | 2/4 [01:12<01:11, 35.50s/it]
Loading checkpoint shards: 75%|███████▌ | 3/4 [01:51<00:37, 37.04s/it]
Loading checkpoint shards: 100%|██████████| 4/4 [01:58<00:00, 25.00s/it]
Loading checkpoint shards: 100%|██████████| 4/4 [01:58<00:00, 29.54s/it]
12/14 14:15:15 - OpenCompass - INFO - using stop words: ['<|eot_id|>', '<|eom_id|>', '<|end_of_text|>']
12/14 14:15:15 - OpenCompass - INFO - Start inferencing [llama_instruct_ms_front_french_bias_model/commonsense_qa]
[2024-12-14 14:15:20,804] [opencompass.openicl.icl_retriever.icl_topk_retriever] [INFO] Creating index for index set...

0%| | 0/812 [00:00<?, ?it/s]You're using a GPT2TokenizerFast tokenizer. Please note that with a fast tokenizer, using the __call__ method is faster than using a method to encode the text followed by a call to the pad method to get a padded encoding.

0%| | 0/812 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/tasks/openicl_infer.py", line 161, in
inferencer.run()
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/tasks/openicl_infer.py", line 89, in run
self._inference()
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/tasks/openicl_infer.py", line 107, in _inference
retriever = ICL_RETRIEVERS.build(retriever_cfg)
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/mmengine/registry/registry.py", line 570, in build
return self.build_func(cfg, *args, **kwargs, registry=self)
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/mmengine/registry/build_functions.py", line 121, in build_from_cfg
obj = obj_cls(**args) # type: ignore
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/openicl/icl_retriever/icl_mdl_retriever.py", line 73, in init
super().init(dataset, ice_separator, ice_eos_token, ice_num,
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/openicl/icl_retriever/icl_topk_retriever.py", line 83, in init
self.index = self.create_index()
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/openicl/icl_retriever/icl_topk_retriever.py", line 99, in create_index
res_list = self.forward(dataloader,
File "/home/usr/condaenv/opencompass/lib/python3.10/site-packages/opencompass/openicl/icl_retriever/icl_topk_retriever.py", line 138, in forward
} for r, m in zip(res, metadata)])
TypeError: 'ListWrapper' object is not iterable

命令行报错为 OpenCompass - ERROR - /home/wangzihan/condaenv/opencompass/lib/python3.10/site-packages/opencompass/runners/local.py - _launch - 236 - task OpenICLInfer[llama_instruct_ms_front_french_bias_model/commonsense_qa,llama_instruct_ms_front_french_bias_model/BoolQ] fail, see
/home/wangzihan/opencompass/metric/llamait/meaningful_sentence_front/20241214_144849/logs/infer/llama_instruct_ms_front_french_bias_model/commonsense_qa.out

其他信息

是否可能与数据集有关吗，还是我的运行方式不对

[hanbaoergogo]

with read_base():
from opencompass.configs.datasets.demo.demo_gsm8k_chat_gen import gsm8k_datasets
# Factual Knowledge
# from opencompass.configs.datasets.mmlu.mmlu_gen_4d595a import mmlu_datasets # this is a dataset evaluated with 5-shot
# General Reasoning
# from opencompass.configs.datasets.bbh.bbh_gen_4a31fa import bbh_datasets
from opencompass.configs.datasets.ARC_e.ARC_e_gen import ARC_e_datasets
# from opencompass.configs.datasets.commonsenseqa.commonsenseqa_gen_c946f2 import commonsenseqa_datasets
from opencompass.configs.datasets.siqa.siqa_gen_e78df3 import siqa_datasets
# Multilinguality
# from opencompass.configs.datasets.tydiqa.tydiqa_gen_978d2a import tydiqa_datasets
# from opencompass.configs.datasets.mgsm.mgsm_gen import mgsm_datasets
# Commonsense Reasoningsiqa_datasets
# from opencompass.configs.datasets.piqa.piqa_gen_1194eb import piqa_datasets

# Reading Comprehension (BoolQ)
from opencompass.configs.datasets.SuperGLUE_BoolQ.SuperGLUE_BoolQ_gen_883d50 import BoolQ_datasets

总体的数据集如下，siqa和commonsenseqa都报这个错

[shutttttdown]

相同错误，请问有解决方案么